About the Role

We are seeking a Data Governance & AI Trust Manager to define and operationalize the governance framework that enables high‑quality, well‑governed data to safely and effectively power GenAI agents, copilots, and analytics across the company.

As the organization accelerates adoption of Generative AI, the quality, structure, provenance, and clarity of corporate operating data have become critical enablers of AI performance, trustworthiness, and value. This role exists to ensure that the company’s operating data ecosystem is intentionally designed, consistently governed, and fit for AI‑enabled use cases, rather than fragmented, ambiguous, or ad‑hoc.

This role reports to the CISO & CIO and operates as a cross‑functional data governance authority across all company content. It does not own or manage the data itself; content ownership remains with business and platform owners. Instead, this role defines the standards, policies, and operating expectations under which data is created, managed, shared, retained, and made eligible for analytics and GenAI use.

A core responsibility of the role is to set the vision for the company’s internal data ecosystem—including how platforms such as SharePoint, Confluence, Jira, Slack, Teams, and related systems should be used together—and to establish clear operational standards (for example, when content belongs in SharePoint versus Confluence, and how that decision impacts AI use).

Governance is expected to be operationalized through native platform controls and existing enterprise tooling, rather than through standalone or heavyweight governance systems. The role translates governance principles into practical, enforceable standards that improve data quality, reduce ambiguity, and materially improve GenAI outcomes.

This is not a traditional data engineering or compliance analyst role. Success requires strong program ownership, the ability to drive cross‑functional alignment without direct authority, and sound judgment at the intersection of data quality, AI trust, security, and business operations.

Your Day‑to‑Day

Governance Framework Design & Ownership

• Own and evolve the company’s Corporate Operating Data Governance framework
• Define governance standards for unstructured and semi‑structured data across collaboration and productivity platforms
• Establish clear ownership models (Data Owners, Data Stewards, Custodians) for operating data domains
• Ensure governance practices enable business velocity rather than obstruct it
• Operationalize governance through native platform capabilities (e.g., metadata, permissions, retention, labeling, workflows) rather than standalone governance tooling

Metadata, Classification & AI Eligibility

• Define and maintain metadata standards, including:
  • Data classification
  • Purpose of use
  • Lifecycle state
  • AI eligibility and exclusion rules
• Partner with Security and Legal to ensure alignment with privacy, regulatory, and contractual obligations
• Embed metadata and classification standards directly into existing platforms rather than creating parallel systems

Data Quality & Trustworthiness

• Establish fitness‑for‑purpose data quality expectations for corporate operating data
• Define quality signals for:
  • Accuracy
  • Completeness
  • Timeliness
  • Consistency
• Partner with business teams to identify high‑risk or high‑impact data domains
• Ensure AI‑enabled experiences are grounded in authoritative, explainable, and traceable data sources

Lifecycle, Retention & Risk Management

• Define lifecycle expectations for operating data, including creation, maintenance, archival, and deletion
• Coordinate retention and defensibility standards to support legal, compliance, and audit needs
• Reduce long‑term risk from unmanaged or over‑retained unstructured data
• Support eDiscovery and investigation readiness through clarity and traceability

Cross‑Functional Execution & Enablement

• Drive accountability across Product, Engineering, Security, Legal, IT, and Business teams
• Establish practical governance cadences, reporting, and decision forums
• Provide authoritative guidance and operating standards while enabling teams with clear, pragmatic direction
• Foster a data‑aware and AI‑responsible culture through enablement and education rather than enforcement alone

What You Bring to the Team

• 6+ years of experience in data governance, data management, AI governance, security, or related operational leadership roles
• Experience governing unstructured or operational data (e.g., collaboration platforms, knowledge systems, document repositories)
• Strong understanding of data quality concepts and lifecycle management
• Familiarity with AI risk considerations including data provenance, bias, privacy, and misuse
• Demonstrated ability to drive cross‑functional execution without direct authority
• Excellent written and verbal communication skills for executive and technical audiences
• Sound judgment balancing governance rigor with business pragmatism
• High degree of ownership and follow‑through

What We’d Like to See (Not Required)

• Experience supporting AI governance, AI enablement, or responsible AI initiatives
• Exposure to regulated environments (HIPAA, HITRUST, SOC 2, GovRAMP, or similar)
• Familiarity with collaboration platforms such as Jira, Confluence, Slack, and Microsoft 365
• Experience partnering closely with Security, Legal, or Risk teams
• SaaS or data‑platform operating environment experience

What you’ll get in return 

• Competitive Leave & Benefits
• Comprehensive health coverage
• Equity for every employee – share in our success
• Growth-focused environment – your development matters here

Work arrangements 

• Standard hours: 8 hours/day, 5 days/week
• Location: Pune, Hybrid (3 days a week in office)
• Shift: 12pm-9pm IST

Job Title: Program Manager – CEO Office

About the Role:

We are seeking a highly independent, organized, and strategic Program Manager – CEO Office to work closely with the CEO and drive high-impact business initiatives while owning cross-functional projects. This role requires a proactive and detail-oriented professional who can manage complex projects, collaborate with senior leadership, and ensure alignment with the company’s vision and goals.

The ideal candidate will have an execution-first attitude, strong planning and organizing skills, excellent communication ability, and the ability to thrive in a fast-paced, technology-driven environment.

Key Responsibilities:

Program Management & Strategic Execution

• Formulate, own, and drive strategic projects, ensuring timely and high-quality execution aligned with business objectives.

• Collaborate with senior leadership and cross-functional teams to track, manage, and report project progress.

• Analyze data, prepare reports, and provide actionable insights for decision-making.

• Identify bottlenecks, risks, and dependencies; proactively resolve them to maintain momentum.

• Navigate ambiguity and conflicting priorities with structured decision-making and minimal involvement of the CEO.

Stakeholder & Communication Management

• Act as a liaison between the CEO and senior leadership, ensuring smooth communication and project alignment.

• Institutionalize structured reporting cadences focusing on impact and value creation across business units.

• Follow up on key initiatives, track deliverables and deadlines with relevant teams.

• Represent the CEO in meetings when required—document key takeaways and action points, and summarize for the CEO.

• Build trust and strong relationships across teams to ensure alignment without direct authority.

Business Operations & Process Optimization

• Identify and drive implementation of process improvements and operational efficiencies across key functions.

• Coordinate and support leadership meetings, business reviews, and strategy sessions.

• Implement tools, frameworks, and processes that enhance operational excellence.

• Track and ensure timely execution of all critical action items and strategic initiatives.

• Support data-driven decision-making through research, competitive analysis, and actionable insights.

• Promote a culture of continuous improvement and operational efficiency.

Time Management & Prioritization

• Strategically manage the CEO’s time and calendar, prioritizing high-impact meetings and tasks.

• Structure the CEO’s schedule to minimize context-switching and maximize focus on high-value activities.

• Foster purposeful collaboration by ensuring meetings have clear objectives and outcomes.

Key Competencies & Skills Required

• Confidentiality: Maintain the highest level of discretion in handling sensitive business matters.

• Execution-First Attitude: Strong sense of urgency and accountability; action-oriented.

• Self-Starter & Problem Solver: Ability to work independently, with minimal supervision, and solve complex problems.

• Program Management: Proficient in planning, execution, and monitoring of cross-functional projects.

• Business Acumen: Understanding of IT product-based business models and strategies.

• Strong Communication: Confident in working with senior executives and diverse teams.

• Analytical & Data-Driven: Use data effectively to influence decisions and optimize processes.

• Attention to Detail: Ability to multitask and shift context without compromising on accuracy.

Qualifications & Experience Required

• MBA from a reputed institute; Bachelor's degree in an IT-related field preferred.

• 3–4 years of experience as a Generalist / Program Manager / CEO Office in business operations or strategy, working directly with CxOs or senior leadership.

• Prior experience in a SaaS or product-based company is a must.

• Proficient with project management tools such as Asana, Trello, Jira, Monday.com, etc.

• Expertise in Microsoft Office (Excel, PowerPoint, Word) and Google Suite.