Sr. Security Engineer - IAM 

Truveta provides unprecedented real-world data and real-time intelligence, powered by a dataset built with and owned by US health systems united in a mission of Saving Lives with Data. Together, we power breakthrough medical discoveries, accelerate regulatory-grade evidence, and improve patient care. Today, Truveta enables research on more than 130 million de-identified patients across the US.  

Achieving Truveta’s ambitious mission requires an incredible team of talented and inspired people with a special combination of health, software and big data experience who share our company values. 

This job requires daily onsite work at our headquarters in Hyderabad.   

Who We Need 

Truveta is rapidly building a talented and diverse team to tackle complex health and technical challenges. Beyond core capabilities, we are seeking problem solvers, passionate and collaborative teammates, and those willing to roll up their sleeves while making a difference. If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. 

If you are interested in the opportunity to pursue purposeful work, join a mission-driven team, and build a rewarding career while having fun, Truveta may be the perfect fit for you. 

This Opportunity 

Success in the healthcare industry is predicated on a foundation of trust. We demonstrate our trustworthiness as stewards of health data through three foundational pillars: security, privacy, and compliance. 

The successful candidate will design, implement, and support solutions that support the company’s Digital Workplace strategy. They will work on leading edge technologies that help modernize endpoint management by leveraging the cloud to quickly deliver end-user improvements. 

Responsibilities  

• Identity Lifecycle & Access Management 

• Manage and improve provisioning, de-provisioning, and modification processes for user accounts and service principals across cloud and enterprise systems. 

• Conduct access reviews, entitlement cleanups, and role evaluations to ensure least-privilege access. 

• Identify gaps in lifecycle processes and recommend enhancements or workflow automation opportunities.

• Access Requests & Role Governance 

• Process and validate access requests, ensuring alignment with RBAC models, security policies, and job function requirements. 

• Contribute to the development and refinement of RBAC roles, access policies, and approval workflows. 

• Partner with stakeholders to analyze access patterns and propose more efficient and secure role structures.

• Application Integration & IAM Enablement 

• Support onboarding applications into IAM systems, including SSO configuration, SCIM provisioning, OAuth app integration, and secure authentication setup. 

• Work with application and engineering teams to ensure proper identity integration and consistent enforcement of IAM standards. 

• Assist with evaluating and implementing new IAM tools or capabilities as the organization evolves.

• Security Controls & Identity Governance 

• Implement and support IAM security controls such as MFA, Conditional Access policies, PIM, and identity governance features. 

• Monitor for identity threats, misconfigurations, and anomalies; proactively recommend remediation steps. 

• Participate in maturing identity governance processes such as certification campaigns, privileged access workflows, and separation-of-duty reviews. 

• Incident Response & Operational Support 

• Troubleshoot and resolve identity-related issues with moderate complexity, including authentication failures, directory sync issues, and access conflicts. 

• Investigate identity-related security alerts and coordinate escalation with Security Operations team as needed. 

• Provide SME support to IT, security, and engineering teams for IAM-related questions and problems.

• Compliance, Auditing & Reporting 

• Support internal and external audits by preparing access-related evidence, reports, and documentation. 

• Ensure IAM controls and workflows meet regulatory, security, and policy requirements. 

• Develop periodic reports on access activity, privileged accounts, anomalies, and IAM policy adherence.

• Documentation, Knowledge Sharing & Process Improvement 

• Maintain accurate and detailed documentation of IAM processes, workflows, configurations, and standards. 

• Contribute to internal knowledge bases, runbooks, training materials, and user guides. 

• Continuously evaluate IAM processes and tools to identify opportunities to streamline, standardize, or automate. 

Key Qualifications 

• The knowledge, skills and abilities typically acquired through the completion of a bachelor's degree program or equivalent degree in a field of study related to Computer Science, Information Security and Information Systems. 

• 5+ years of hands-on experience in an Identity and Access Management (IAM) role, with a strong focus on Azure environments. 

• Strong understanding of Azure Entra ID (Azure Active Directory), including Conditional Access, MFA, Identity Governance, PIM, directory services, and RBAC. 

• Experience supporting SSO integrations and identity protocols such as SAML, OAuth 2.0, OpenID Connect, and SCIM provisioning. 

• Ability to analyze and improve access models, workflows, and entitlements, applying least privilege and zero-trust principles. 

• Proficiency with PowerShell or similar scripting tools to automate IAM tasks and streamline operations. 

• Experience monitoring for identity-related threats, anomalous login behavior, and misconfigurations in cloud IAM environments. 

• Working knowledge of IT/security governance and compliance frameworks (e.g., SOC 2, ISO 27001, NIST) and experience supporting audits or access reviews. 

• Strong troubleshooting and diagnostic skills for identity issues involving authentication, authorization, directory sync, and permissions. 

• Excellent written and verbal communication skills, including the ability to work cross-functionally with engineering, IT, and security teams. 

• Relevant certifications preferred, such as Microsoft SC-300 (strongly preferred), AZ-104, AZ-500, or Security+. 

• Ability to work effectively in a fast-paced environment, handle multiple priorities, and take ownership of IAM responsibilities. 

• This position requires onsite work at Hyderabad, India. 

Why Truveta? 

Be a part of building something special. Now is the perfect time to join Truveta. We have strong, established leadership with decades of success. We are well-funded. We are building a culture that prioritizes people and their passions across personal, professional, and everything in between. Join us as we build an amazing company together. 

Truveta is committed to creating a diverse, inclusive, and empowering workplace. We believe that having employees, interns, and contactors with diverse backgrounds enables Truveta to better meet our mission and serve patients and health communities around the world. We recognize that opportunities in technology historically excluded and continue to disproportionately exclude Black and Indigenous people, people of color, people from working class backgrounds, people with disabilities, and LGBTQIA+ people. We strongly encourage individuals with these identities to apply even if you don’t meet all the requirements. 

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.