About Us (Ensono)

Ensono is an expert technology adviser and managed service provider. As a relentless ally, we accelerate clients’ digital transformation to achieve business outcomes that stand to last. Our dedicated team helps organizations optimize today’s systems across any hybrid environment with services such as consulting, mainframe and application modernization, public cloud migration and cloud-native development. With certified experts in AWS, Azure and Google Cloud and recognized as Microsoft Datacenter Transformation Partner of the Year, Ensono has over 3500+ associates globally and is headquartered in greater Chicago.

We care about your success, offering comprehensive strategic and managed services for mission-critical applications. Our Advisory and Consulting services can help upfront with an application strategy or find the right places for your applications – whether it’s public, multi or hybrid cloud, or mainframe. And because we span across all mission-critical platforms, we can meet you wherever you are in your digital transformation journey, with 24/7 support when you need it. We are your relentless ally, flexing with you when challenges emerge so you don’t feel stuck in place. With cross-platform certifications and decades of experience, our technology experts have become an extension of your team so you’re continuously innovating – doing more with less while remaining secure. And that’s just the beginning.

Job Description: Business Intelligence Manager

Position Summary

The Business Intelligence (BI) Manager is responsible for leading the strategy, development, and operational excellence of enterprise analytics, reporting, and AI-enabled insights. This role oversees BI platforms, data visualization, and analytical solutions—including the responsible application of AI and advanced analytics—to enable data-driven decision-making across the organization. The BI Manager partners with business leaders, data engineering, AI governance, and security teams to ensure insights are accurate, explainable, secure, and aligned with business priorities.

Key Responsibilities

Strategy & Leadership

• Define and execute the enterprise BI and analytics strategy, including AI-enabled insights, aligned to business objectives and data governance standards
• Lead, mentor, and develop a team of BI developers, analysts, and analytics engineers
• Establish prioritization frameworks for analytics and AI-driven use cases
• Serve as a trusted advisor to business and executive stakeholders on analytics and AI capabilities

Analytics, AI & Insights Delivery

• Oversee the design, development, and maintenance of dashboards, reports, predictive models, and AI-assisted analytics products
• Enable the use of AI for trend analysis, forecasting, anomaly detection, and insight generation using governed enterprise data
• Ensure consistent semantic models, metrics definitions, and explainable outputs across BI and AI solutions
• Partner with data science and data engineering teams to operationalize AI outputs into BI platforms and business workflows
• Drive adoption of AI-assisted self-service analytics while maintaining data quality, lineage, and control

Platforms & Technology

• Own BI and analytics platforms (e.g., Power BI, Tableau, Looker) and their integration with AI and cloud data platforms
• Support AI-enabled features such as natural language query, automated insights, and embedded copilots where appropriate
• Define standards for dashboard design, AI explainability, usability, accessibility, and performance
• Lead platform optimization, licensing strategy, and cost management across BI and AI tooling

AI Governance, Security & Responsible Use

• Ensure AI use of data complies with enterprise AI governance, security, privacy, and ethical standards
• Partner with security, risk, and compliance teams to enforce access controls, sensitivity labeling, and usage monitoring
• Support model transparency, bias awareness, and auditability for AI-derived insights
• Maintain documentation for AI use cases, assumptions, and limitations

Data Governance & Quality

• Enforce data governance, certification, and lifecycle management for BI and AI assets
• Establish data quality and AI output validation processes
• Maintain business glossaries, metric definitions, and AI-enabled analytics documentation
• Support audit, compliance, and regulatory requirements related to analytics and AI

Stakeholder Engagement & Value Realization

• Translate business questions into analytics and AI use cases with measurable outcomes
• Enable business teams through training on BI tools, AI-assisted analytics, and responsible usage
• Measure and report on analytics and AI value realization, adoption, and business impact

Required Qualifications

• Bachelor’s degree in information systems, Computer Science, Data Analytics, Business, or related field
• 7–10 years of experience in business intelligence, analytics, or data platforms
• 3+ years of experience leading BI or analytics teams
• Strong expertise in BI platforms (Power BI preferred) and enterprise data architectures
• Demonstrated understanding of AI-assisted analytics and advanced analytical techniques
• Proven experience partnering with senior business stakeholders
• Strong understanding of data governance, security, and compliance principles

Preferred Qualifications

• Experience in managed services, consulting, or multi-client environments
• Familiarity with cloud data platforms (e.g., Snowflake, Azure Synapse, BigQuery)
• Exposure to AI platforms, embedded analytics, or analytics copilots
• Knowledge of data cataloging, lineage, and governance tools (e.g., Microsoft Purview or equivalents)
• Experience operationalizing AI insights within enterprise reporting environments

Key Competencies

• Strategic analytics and AI thinking with operational execution
• People leadership and talent development
• Executive communication and stakeholder influence
• Data ethics, governance, and risk awareness
• Continuous improvement and innovation mindset

Success Measures

• Increased adoption of BI and AI-enabled insights across the enterprise
• Consistent, trusted, and explainable KPIs and AI outputs
• Improved time-to-insight and decision quality
• Strong governance, security, and audit outcomes
• Demonstrated business value from analytics and AI initiatives

We are an equal opportunity employer. All qualified applicants will be considered for employment without regard to caste, colour, creed, religion, gender, gender identity, sexual orientation, age, disability, HIV status, or any other status protected by law. Candidates with disabilities who require accommodations during the recruitment process are encouraged to contact our Talent Acquisition team to place a request.

About the team: 

The Customer Operations team is at the heart of Forma.ai's mission. This team has a direct impact on the growth of Forma.ai. They are results-driven and solutions-minded. 

The Customer Operations team works closely with our customers, helping them to understand and take advantage of all the features Forma.ai offers and ensuring that they get the most value from the platform.  

What you'll be doing:  

Reporting & Dashboarding

• Design, maintain, and enhance dashboards in BI tools (e.g., Looker Studio, Salesforce/HubSpot reports) to monitor marketing campaign performance, sales pipeline health, lead flow, and conversion metrics 
• Automate recurring reports and implement self-serve analytics capabilities for GTM teams 

Data Analysis & Insights 

• Analyze funnel performance from top-of-funnel marketing campaigns to bottom-of-funnel sales outcomes
• Provide regular insights into key KPIs like campaign ROI, customer acquisition cost (CAC), and attribution across channels
• Support A/B testing initiatives, sales activity analysis, and segmentation strategies 

Scripting & Automation 

• Write Python and SQL scripts to extract, clean, and structure data from external sources (e.g., job boards, press releases, M&A feeds, web scraping APIs)
• Build automated enrichment pipelines to augment CRM and marketing data with third-party insights (e.g., firmographics, hiring activity, technology stack, funding events) 

Data Quality & Tooling 

• Take ownership of data cleanliness and integrity across GTM systems (e.g., Salesforce, HubSpot, Databricks), including investigating issues, proposing solutions, and manually resolving historical data problems when necessary
• Maintain and improve key GTM logic — including lead scoring models, lifecycle stage transitions, attribution frameworks, and related automation rules — ensuring they are well-defined, consistent, and actionable 

What we're looking for:  

• Background in Engineering, Commerce, Mathematics and/or Statistics
• Natural curiosity about AI and emerging technologies — especially where they intersect with automation, data, and workflow orchestration across the GTM stack
• Familiarity with B2B go-to-market motions and how to measure their effectiveness
• Experience in report building, data analysis and workflow automation within a GTM tech stack (e.g. Salesforce, HubSpot, Gong, BI tools) 
• Proficiency in SQL or Python and familiarity with at least one BI tool (e.g., Power BI, Looker, Tableau)
• 3-5 years of related experience
• High achiever with a strong sense of ownership
• Ability to take ownership and run tasks in a fast-paced and evolving environment 

Strategic Project Lead / Delivery Manager 

Data Annotation & AI Delivery

8+ Years of Experience

Position Overview

We are looking for a seasoned Delivery Manager (8+ years of experience) to lead large-scale data annotation and curation projects in support of cutting-edge LLM and multimodal AI research. You will oversee end-to-end delivery for projects with 100+ team members, ensure world-class data quality, and drive process and tooling innovation in collaboration with AI researchers and cross-functional teams.

This role is ideal for someone who combines deep technical expertise, proven leadership in managing large teams, and a passion for advancing AI/ML innovation. Given that our key customers operate in the data analytics, data engineering, and Business Intelligence (BI) space, the ideal candidate will bring hands-on leadership experience with platforms such as Databricks and Snowflake, enabling them to deeply understand customer domains, speak their language, and deliver annotation outcomes that are contextually relevant and technically sound.

Primary Responsibilities

1. Team Leadership & Development

• Lead, mentor, and grow large-scale teams of annotators and trainers.
• Drive performance management, career development, and targeted training.
• Foster a culture of excellence, ownership, and continuous learning.
• Design and implement motivation strategies (including gamification) to boost engagement and reward top performers.

1. Project Management & Coordination

• Define and manage project scope, objectives, timelines, and quality metrics.
• Align with cross-functional stakeholders on goals and deliverables.
• Proactively identify and resolve delivery risks, blockers, and dependencies.
• Provide clear and consistent reporting on progress, challenges, and solutions.

1. Data Quality & Integrity

• Own quality control and data integrity across the annotation lifecycle.
• Analyze datasets to identify trends, anomalies, and insights for improvement.
• Implement best practices for annotation, evaluation, and data curation.
• Share learnings and continuously improve quality processes.

1. Technical Collaboration & Innovation

• Partner with engineering and research teams to optimize internal tooling.
• Stay ahead of emerging trends in AI, ML, and multimodal processing.
• Champion innovations that reduce task completion times and improve efficiency.
• Maintain clear and scalable documentation for processes and training.

1. Customer & Domain Engagement

• Serve as a domain-knowledgeable point of contact for customers operating in data engineering, analytics, and BI environments.
• Leverage hands-on experience with platforms like Databricks and Snowflake to understand customer data workflows, terminology, and quality expectations.
• Translate customer-specific data engineering and BI contexts into clear, actionable annotation guidelines and quality benchmarks for delivery teams.
• Collaborate with customers to define annotation taxonomies and evaluation criteria that align with their data pipeline and analytics use cases.

Required Skills & Qualifications

• 10+ years of experience in engineering, program management, or delivery of large-scale projects.
• Proven ability to lead and scale large teams (100+ members) with measurable impact.
• Strong technical grounding in AI/ML, data annotation, and multimodal systems.
• Hands-on leadership experience in data analytics, data engineering, or BI domains, with working knowledge of platforms such as Databricks and/or Snowflake (architecture, pipelines, data modeling, and production workflows).
• Familiarity with the modern data stack including ETL/ELT pipelines, data warehouses, data lakes, and BI tools (Power BI, Tableau, Looker, or similar).
• Ability to translate complex data engineering and analytics concepts into annotation frameworks, quality standards, and training materials.
• Proficiency in Python (preferred) or Swift for data analysis and automation.
• Strong mathematical and analytical skills for data-driven problem solving.
• Experience in data curation, annotation pipelines, and quality control.
• Excellent communication and stakeholder management skills.
• Track record of driving high-quality outputs under tight deadlines.

Preferred Skills & Qualifications

• Advanced degree in Computer Science, Data Science, AI, or related fields.
• Experience applying gamification to workforce engagement.
• Familiarity with modern project management tools & methodologies.
• Exposure to state-of-the-art multimodal AI technologies.
• Prior experience managing annotation or data labeling projects for customers in the data engineering, analytics, or BI space.
• Familiarity with SQL at an advanced level and data orchestration tools such as Apache Airflow, dbt, or Prefect.
• Certifications in Databricks (e.g., Data Engineer Associate) or Snowflake (e.g., SnowPro Core) are a plus.

Overview of Role

The MicroStrategy Administrator will be responsible for the installation, configuration, maintenance, and support of the MicroStrategy platform. They will work with a variety of MicroStrategy products and will leverage their python, SQL, and automation skills to monitor, maintain, and improve MIcroStrategy environments. This role requires collaborating with clients and analysts to identify optimal technical solutions, utilizing and improving established processes, and collaborating on the Managed Solutions team.

Responsibilities

• Implementing and managing security roles, access controls, and authentication mechanisms within MicroStrategy to ensure data security and compliance with organizational policies.
• Manage user access and permissions
• Work with clients and analysts to gather requirements and design solutions
• Provide technical support to MicroStrategy users, troubleshooting issues, and answering questions related to report development, data access, and platform functionality 
• Stay up-to-date on the latest MicroStrategy features and best practices
• Create and maintain comprehensive documentation of the MicroStrategy environment, including system architecture, configurations, and troubleshooting guides
• Proven experience in dashboard development, report building, object development, and maintenance
• Develop workflows to automate administrative functions utilizing tools such as Python, MicroStrategy’s Rest API, Command Manager and System Manager. 
• Monitor system performance, identifying bottlenecks, and optimizing system resources (CPU, memory, disk space) to ensure efficient operation and scalability. This may involve query optimization, caching strategies, and load balancing.
• You are motivated and driven. You volunteer for new challenges without waiting to be asked. You’re going to take ownership of the time you spend with us and truly make a difference.
• Strong experience in CI/CD and Git-based version control (Bitbucket – push/pull, branching), along with JIRA and Confluence.
• Experience with MicroStrategy Administrative Functions is required!

Qualifications

• At least 3-5 years of experience working with the MicroStrategy Analytics Platform in an administrative capacity. 
• Strong familiarity with the differences in administrative process between self-hosted and Managed Cloud Environments (MCE). 
• Strong understanding of MicroStrategy architecture and components.
• Experience with MicroStrategy installation, configuration, and administration
• Experience with performance tuning and troubleshooting
• Experience managing environments with heavy utilization of intelligence cubes and high volumes of subscriptions.
• Experience utilizing MicroStrategy Workstation, understanding the differences in capabilities between Workstation and Developer application capabilities. 
• Experience building automation solutions utilizing Python and MicroStrategy’s Rest API.
• Strong proficiency in SQL, including advanced query writing and performance optimization
• Strong Experience utilizing System Manager and Command Manager applications.
• Bachelor's degree in Computer Science or related field or equivalent experience.
• Working knowledge or Hands-on experience of BI/reporting tools (Tableau, Power BI, Looker Studio) is desirable and will be viewed as an added advantage.
• Experience or familiarity with Google BigQuery is a plus.
• Experience with security and user management.
• Strong problem-solving and analytical skills.
• Excellent communication and interpersonal skills.
• Ability to work independently and own deliverables end-to-end.
• A Bachelor’s degree in Computer Science, Computer Engineering, or related or equivalent work experience required.

What’s in it for you?

Opportunity To Unlock Your Creativity
Think of all the times you were held back from trying new ideas because you were boxed in by bureaucratic legacy processes or old school tactics. Having a growth mindset is deeply ingrained into our company culture since day 1 so Fictiv is an environment where you have the creative liberty and support of the team to try big bold ideas to achieve our sales and customer goals.

Opportunity To Grow Your Career
At Fictiv, you'll be surrounded by supportive teammates who will push you to be your best through their curiosity and passion.

Impact In This Role

The Data Intelligence team creates reports and dashboards to provide meaningful insights from the data warehouse. This team works closely with cross-functional stakeholders and leverages multiple Business Intelligence (BI) technologies to enable data-driven decision-making across the organization.
As a Senior Data Engineer on the Data Intelligence team, you will play a key role in designing, managing, and evolving Fictiv’s reporting data warehouse and semantic layer. You will partner closely with the Data Intelligence Manager, Data Engineers, Data Analysts, and Product Managers to ensure replicated data from production systems is transformed into scalable, trusted semantic data models that power consistent, accurate self-service reporting. Acting as a bridge between business and technology, you will translate analytical requirements into well-structured data models and transformations that enable reliable dashboards and insights across multiple domains.
In addition, you will collaborate with Infrastructure, Software, and Systems Engineering teams to strengthen database design and query efficiency across the broader data ecosystem. You will provide hands-on guidance on optimal table structures, indexing and clustering approaches, and SQL query patterns that improve performance and scalability. By proactively identifying bottlenecks and recommending architectural and modeling improvements, you will help ensure that both analytical and operational workloads are efficient, maintainable, and aligned with best practices.
This is a hands-on role responsible for leading the design, transformation, implementation, and operation of data solutions across disparate source systems—driving best practices in data modeling, semantic layer design, performance optimization, documentation, and governance. You will plan, design, and operate data pipelines and models using Agile methodologies to deliver high-quality, maintainable, and secure data assets

You will report to the Data Analytics Manager.

What You’ll Be Doing

• Design efficient, scalable, and maintainable semantic data models that align with business logic and enable intuitive self-service analytics and reporting across multiple domains.
  
• Build, maintain, and optimize data transformations and pipelines that transform replicated production data into trusted, analytics-ready models.
  
• Collaborate with stakeholders across data, engineering, product, and business teams to resolve data-related issues, clarify requirements, and align on solution design.
  
• Provide technical leadership and guidance to Software Engineers and Data Engineers on query performance, optimization techniques, and efficient data access patterns.
  
• Drive ongoing improvement of database and table structures, partnering with engineers to validate and refine table design, joins, partitioning/clustering, and other performance-related considerations.
  
• Review and advise on SQL query design for both application and analytics use cases, helping teams design queries that are performant, maintainable, and cost-effective.
  
• Analyze performance metrics and execution plans to identify bottlenecks in data models, queries, and transformations, and recommend practical tuning and refactoring opportunities.
  
• Follow and contribute to SQL coding standards, data modeling best practices, change control procedures, and data warehouse governance processes.
  
• Develop and maintain data flow diagrams, data dictionaries, and schema documentation with a focus on clarity, consistency, and enterprise data management.
  
• Understand and document end-to-end data flows and dependencies from production systems through the ELT pipeline into Snowflake and downstream BI tools, supporting delivery, release, and change management.
  
• Execute and lead data design sessions and technical reviews to gather requirements, validate modeling approaches, and communicate design decisions and trade-offs to stakeholders.
  
• Research emerging technologies, patterns, and tools related to Snowflake, dbt, SQL optimization, and semantic modeling, and recommend enhancements to Fictiv’s data platform and practices.
  
• Help set broad direction and vision for the reporting data platform architecture, influencing data engineering, analytics, and application data design strategy.
  
• Partner with internal and external teams for knowledge transfer and smooth handoff in advance of new feature launches or reporting changes.
  
• Work effectively with remote and cross-functional teams across time zones, fostering strong communication and collaboration.
  
• Proven experience working with large and complex datasets and comfort writing advanced SQL queries or leveraging BI tools for analysis and transformation.
  
• Deep understanding of data and analytics architecture, including data warehousing concepts, semantic data modeling, and data integration best practices, with a strong focus on Snowflake and ELT pipelines.
  
• Strong knowledge of SQL and BI concepts, including dimensional modeling, data warehouse design, and dashboarding; ability to translate analytical needs into robust semantic models.
  
• Demonstrated ability to guide and influence database and schema optimization, including improving query performance, advising on efficient access patterns, and ensuring well-structured data that support scalable workloads.
  
• Experience mentoring and guiding Data Engineers and Software Engineers to develop robust, scalable, and maintainable data models, queries, and database structures.
  
• Ability to design and maintain data transformation and workload management processes, including job orchestration, dependency handling, scheduling, and metadata management.
  
• Excellent analytical skills and experience working with both structured and semi-structured data, from exploration through to production-ready models.
  
• Ability to evaluate new tools, database features, and methodologies relative to the existing data stack and propose detailed, pragmatic recommendations for improvement.
  
• Strong ability to perform root cause analysis on data quality, performance, and process issues to identify inefficiencies, ensure data integrity, and deliver actionable insights.
  
• Clear and effective communicator—capable of providing business context for engineers and technical context for non-engineers, especially around trade-offs in model and schema design.
  
• Confident presenting to audiences with mixed levels of technical understanding and experience, including walkthroughs of models, schemas, and query patterns.
  
• Curious, resourceful, and adaptable; comfortable navigating ambiguity, learning new technologies (e.g., new Snowflake/dbt features), and evolving processes to improve outcomes.

Desired Traits

• B.S. in Data Science, Computer Science, Information Systems, or a related field.
  
• 15+ years of experience as a Data Engineer, designing and maintaining large-scale data systems, building scalable data models, and delivering analytical solutions through modern BI and data pipeline tools.
  
• 10+ years of experience working with modern cloud and on-premise database platforms—such as Snowflake, AWS Redshift, Azure Synapse, Google BigQuery, or traditional RDBMS systems (e.g., PostgreSQL, MySQL, SQL Server, Oracle)—with a strong focus on schema design, query performance, execution plan analysis, and scalable data access patterns, rather than day-to-day operational administration.
  
• 8+ years of experience developing and maintaining data transformation workflows using dbt or a similar tool, with expertise in model design, testing, documentation, environment management, deployment automation, and enforcing version control and development best practices.
  
• Demonstrated expertise working with complex datasets and advanced SQL, including multi-level CTEs, window functions, and recursive queries, with an emphasis on performance and readability.
  
• Experience with BI platforms such as Heap, Sigma Computing, or similar technologies (e.g., Tableau, Looker, or QuickSight), and how they interact with warehouse models.
  
• Strong knowledge of BI and analytical concepts, including regressions, recursion, sliding window functions, financial metrics, marketing funnel metrics, and logistics and fulfillment analytics.
  
• Experience building and maintaining processes that support data transformation, data structures, metadata management, dependency handling, and workload optimization in a modern ELT/warehouse environment.
  
• Proven ability to lead and coordinate cross-functional initiatives, including partnering with Software Engineers to refine schemas and queries, conducting interviews, and performing analyses to develop business cases for projects and improvements.
  
• Experience delivering training sessions and technical enablement for internal and external stakeholders, especially around data models, schemas, and query best practices during system and process rollouts.
  
• Excellent communication and collaboration skills, with the ability to translate complex technical concepts (e.g., query plans, indexing/clustering trade-offs, modeling decisions) for non-technical audiences.
  
• Demonstrated leadership and mentoring abilities, fostering technical excellence and knowledge sharing across data and engineering teams, particularly in areas of semantic modeling, SQL craftsmanship, and performance optimization.

Perks and Benefits

• Medicliam
• Annual Paid holidays
• Gratuity
• Provident Fund 
  And much, much more!

Interested in learning more?  We look forward to hearing from you soon.

Position Overview 

We are looking for a professional to join our analytics Team in Pune, India. A successful candidate should be an analytically minded hands-on individual with a strong academic background, entrepreneurial spirit, and interest in data analytics. The position requires incumbent to leverage analytics and visualization tools to present information in a way that drives fact-based decision making. The incumbent should be expert in optimizing the data flows and understand the opportunities of new data sources in the context of integration into database/visualization platform.   

Our Analytics Team helps our clients across the globe, identify their highest-value prospects and customers and deliver relevant messages to those people using a census-level data stack and advanced tools for custom audience creation, extension (via look-alike models), and syndication to activation platforms. These capabilities represent an important part of our current business, with very strong growth potential. The team objective is to accelerate our growth, delivering strong revenue gains by attracting new clients and delighting current clients to retain and expand their engagement.  

The team support this goal through high-quality delivery and reporting on projects viz. campaign reporting, audience segmentation, look-alike modeling, audience activation, and closed-loop measurement of media outcomes (reach, frequency, sales impact, etc.). 

This role is based in Pune but will be supporting teams around the world  

Responsibilities

• Own the design, development, and maintenance of ongoing reports and dashboards on the key drivers of our business.
• Leverage analytics and visualization tools to present information in a way that drives fact-based decision making.
• Partner with operations/business teams to consult, develop and implement KPIs, automated reporting/process solutions.  
• Collaborate with Business teams and data owners to maintain data integrity and compliance.
• Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format.
• Manage on-time delivery of regular client/internal reports
  • Building reports from data warehouse
  • Review of completed reports for anomalies & discrepancies
  • Troubleshooting data issues/discrepancies
  • Ensure formatting & delivery parameters are met
• Investigate and understand the opportunities of new data sources in the context of integration into database/visualization platform.
• Support data cleansings & manipulation process including but not limited to:
  • Taxonomy classification
  • Conversion re-naming, grouping
  • Removal of test/ghost impressions 

Qualification - Required Skills 

• 3 to 5 years of experience in Analytics domain
• A bachelor’s degree in statistics, mathematics, econometrics, quantitative finance, actuarial science or engineering from a reputable university is a must
• Rich experience in data visualization tools such as Tableau / Power BI / Looker Willingness to work in night shifts
• Hands on experience in creating complex SQL Queries joining multiple datasets.
• Strong verbal/written communication and data presentation skills, including an ability to effectively communicate with both business and technical teams.
• Willing to work in night shifts.

Qualifications - Desired Skills 

• An ability and interest in working in a fast-paced, ambiguous and rapidly changing environment.
• Experience in developing requirements and formulating business metrics for reporting.
• Experience working with large datasets using Python is desirable
• Good hands-on MS-Excel. VBA would be a plus.
• Candidates who have understanding of media and marketing domain would be preferred 

We See You  

At IPG Mediabrands, we are unified behind a commitment to fostering a culture of inclusion and belonging. Together, we shine through a set of shared values and behaviors. We take pride in our responsibility to our clients, communities, and to each other. We embrace differences and recognize the unique value that each of us brings to our community.  

We encourage you to apply, as unique backgrounds, perspectives, and lived experiences are welcomed.   

We See You at IPG Mediabrands. 

About IPG Mediabrands 

IPG Mediabrands is the media and marketing solutions division of Interpublic Group (NYSE: IPG). IPG Mediabrands manages over $47 billion in marketing investment globally on behalf of its clients across its full-service agency networks UM, Initiative and Mediahub and through its award-winning specialty business units Healix, Kinesso, MAGNA, Mediabrands Content Studio, Orion Holdings, Rapport, and the IPG Media Lab. IPG Mediabrands clients include many of the world’s most recognizable and iconic brands from a broad portfolio of industry sectors including automotive, personal finance, consumer product goods (CPG), pharma, health and wellness, entertainment, financial services, energy, toys and gaming, direct to consumer and e-commerce, retail, hospitality, food and beverage, fashion and beauty. The company employs more than 18,000 diverse marketing communication professionals in more than 130 countries. Learn more at www.ipgmediabrands.com.  

Job title: Manager Cloud Integration 

Division/Department: Corporate Information Technology & Security (CIT&S) 

Reports to: Global Director of Information Technology & Security 

Work Timing: 4 PM to 1 AM India Time

Work Type: Hybrid

Essential Duties and Responsibilities:  

This role is responsible for defining and overseeing the architectural direction across multiple systems, ensuring seamless integration, scalability, and alignment with business goals. You will serve as a hands-on leader—balancing strategic planning with technical depth—providing guidance, enforcing best practices, and shaping our technology landscape. 

• Architectural Leadership: Define, communicate, and enforce system architecture principles, patterns, and standards across multiple platforms and services. 

• Integration Strategy: Design and oversee integrations between internal and external systems, ensuring security, scalability, and performance. 

• Team Management: Lead, mentor, and grow a developer team. Conduct regular 1:1s, performance reviews, and career development planning. 

• Technical Oversight: Conduct architecture and code reviews, provide hands-on guidance, and ensure implementation aligns with architectural intent. 

• Cross-Functional Collaboration: Work closely with the delivery teams, operations, and business stakeholders to translate business requirements into scalable technical solutions. 

• Governance and Standards: Establish and maintain best practices, reusable patterns, and architecture review processes to reduce technical debt and improve consistency. 

• Strategic Influence: Partner with leadership to shape the long-term technology roadmap and drive strategic initiatives across the organization. 

• Lead Technical Change Management Forums: Providing architectural oversight on proposed changes, evaluating risk, ensuring coordination across teams and maintaining a high standard of operational stability. 

• On-call support for escalated incidents: Providing high-level architectural support and guidance during critical events.  

Education and Work Experience Requirements:  

• • 13+ years of experience in system architecture or engineering, with a strong focus on enterprise SaaS platforms and system integrations.
  • Minimum 5 years of hands-on experience integrating Salesforce and NetSuite, including the use of integration platforms such as MuleSoft, Boomi, or Jitterbit, and Python for automation and scripting.
  • Experience with other enterprise platforms, including:
    • Data visualization and analytics: Tableau, Power BI, Looker
    • ERP and PSA systems: Oracle ERP, SAP S/4HANA, Certinia
    • HRIS platforms: ADP, Workday
    • Familiarity with cloud-based data warehousing solutions, such as Snowflake, is a plus
  • 7+ years in a leadership or management role, with proven ability to lead technical teams and drive architectural decisions.
  • Demonstrated success in designing and integrating complex systems at scale.
  • BS or Master’s Degree in Computer Science, Information Technology, or a related field.
  • Deep understanding of cloud platforms (AWS, Azure, or GCP).
  • Strong knowledge of architectural patterns (e.g., microservices, event-driven architecture).
  • Experience with DevOps practices, CI/CD pipelines, and infrastructure as code.
  • Excellent communication and stakeholder management skills.
  • Persistent problem-solving mindset and proactive approach to learning new technologies.
  • Commitment to documentation and adherence to established procedures.
  • Participation in weekend on-call rotation for critical issues.

About Us

“Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients across banking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. 

WHY JOIN CAPCO?

You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry.

MAKE AN IMPACT

Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services.

#BEYOURSELFATWORK

Capco has a tolerant, open culture that values diversity, inclusivity, and creativity.

CAREER ADVANCEMENT

With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands.

DIVERSITY & INCLUSION

We believe that diversity of people and perspective gives us a competitive advantage.

LEA Product Manager

Role Summary

We are looking for a hands-on product manager that will be responsible for the GenAI visualisation and conversational analytics frontend capability. As part of this role, you will be working closely with the Associate Director- Visualisation to help shape and materialise the overall vision, strategy and the roadmap for the capability.

You'll be responsible for bridging GenAI for BI, building and scaling GenAI visualisation products, owning the governance railway for the capability and ensuring the delivery of trusted, explainable conversational analytics for the business aligned with common enterprise data standards.
 

Key Responsibilities

• Help define and execute the product roadmap for GenAI visualisation and conversational analytics, balancing long-term vision with immediate business priorities.
• Lead the end-to-end development and integration of GenAI visualisation products and workflows by partnering closely with the business.
• Leverage analytics to monitor user adoption, engagement and AI performance, driving actionable insights and results.
• Help define the standards and the operating model for semantic models, control retrieval strategies and change management controls.
• Work closely with the engineering team to improve the overall performance of the GenAI visualisation offering, actively and iteratively.

• Enable and embed the GenAI visualisation governance strategy and the guardrails required for the safe and responsible use of AI across the organization.
• Partner with key stakeholders to ensure the GenAI visualisation capability is compliant with relevant organizational controls.

• Build relevant product documentation, end-user adoption of playbooks, and journeys.

Required Skill & Experience

To be successful in this role, you’ll need to demonstrate proven experience in building and scaling enterprise GenAI data products (front-end) and have a deep understanding of both open source and paid visualisation technologies such as Looker, Qlik, Tableau etc.

• 5-8 years in product management or consulting within financial services
• Analytical mindset with strong communication and problem-solving skills
• Demonstrated success shipping AI, data or machine learning products
• Ability to translate user needs and GenAI capabilities into clear technical specifications
• Deep understanding of analytics tools (Looker, Qlik, Tableau, Power-BI, etc)
• Proven ability to drive cross-functional alignment across product, engineering and client teams to deliver measurable business outcomes
• Solid understanding of modern AI technologies (e.g. generative models, conversational systems, embeddings, agentic workflows) from a product perspective

What You Will Do and Learn

As a Data Engineer in Data Solutions, you’ll be responsible for designing, implementing, and testing proposed modern analytic solutions.  Working closely with our client partners and architects, you’ll develop relationships with key technical resources while delivering tangible business outcomes. 

Qualifications:

· 2-4 years’ experience developing industry leading business intelligence and analytic solutions

· Must have thorough knowledge of data warehouse concepts and dimensional modelling

· Must have experience in writing advanced SQL

· Must have at least 2+ years of hands-on experience on DBT (Data Build Tool). Mandatory to have most recent hands-on experience on DBT.

· Must have experience working with DBT on one or more of the modern databases like Snowflake / Amazon Redshift / BigQuery / Databricks / etc.

· Hands-on experience with Snowflake would carry higher weightage

· Snowflake SnowPro Core certification would carry higher weightage

· Experience working in AWS, Azure, GCP or similar cloud data platform would be an added advantage

· Hands-on experience on Azure would carry higher weightage

· Must have experience in setting up DBT projects

· Must have experience in understanding / creating / modifying & optimizing YML files within DBT

· Must have experience in implementing and managing data models using DBT, ensuring efficient and scalable data transformations

· Must have experience with various materialization techniques within DBT

· Must have experience in writing & executing DBT Test cases

· Must have experience in setting up DBT environments

· Must have experience in setting up DBT Jobs

· Must have experience with writing DBT Jinja and Macros

· Must have experience in creating DBT Snapshots

· Must have experience in creating & managing incremental models using DBT

· Must have experience with DBT Docs

· Should have a good understanding of DBT Seeds

· Must have experience with DBT Deployment

· Must Experience with architecting data pipelines using DBT, utilizing advanced DBT features

· Proficiency in version control systems and CI/CD

· Must have hands-on experience configuring DBT with one or more version control systems like Azure DevOps / Github / Gitlab / etc.

· Must have experience in PR approval workflow

· Participate in code reviews and best practices for SQL and DBT development

· Experience working with visualization tools such as Tableau, PowerBI, Looker and other similar analytic tools would be an added advantage

· 2+ years of Business Data Analyst experience

· 2+ years of experience writing Business requirements, Use cases and/or user stories, for data warehouse or data mart initiatives.

· Understanding and experience on ETL/ELT is an added advantage

· 2+ years of consulting experience working on project-based delivery using Software Development Life Cycle (SDLC)

· 2+ years of years of experience with relational databases (Postgres, MySQL, SQL Server, Oracle, Teradata etc.)

· 2+ years of experience creating functional test cases and supporting user acceptance testing

· 2+ years of experience in Agile/Kanban/DevOps Delivery

· Outstanding analytical, communication, and interpersonal skills

· Ability to manage projects and teams against planned work

· Responsible for managing the day-to-day client relationship on projects

· Manage the Data engineering lifecycle including research, proof of concepts, architecture, design, development, test, deployment, and maintenance

· Collaborate with team members to design and implement technology that aligns with client business objectives

· Build proof of concepts for a modern analytics stack supporting a variety of Cloud-based Business Systems for potential clients

· Team management experience and ability to manage, mentor and develop talent of assigned junior resources

· Create actionable recommendations based on identified platform, structural and/or logic problems

· Communicate and demonstrate a clear understanding of client business needs, goals, and objectives

· Collaborate with other architects on solution designs and recommendations.