Data Governance Engineer

About Us

Abacus Insights is transforming how data works for health plans. Our mission is simple: make healthcare data usable so the people responsible for care and cost decisions can act faster with confidence.
We help health plans break down data silos to create a single trusted data foundation. That foundation powers better decisions so plans can improve outcomes reduce waste and deliver better experiences for members and providers alike.

Backed by $100M from top investors were tackling big challenges in an industry thats ready for change. Our platform enables GenAI use cases by delivering clean connected and reliable healthcare data that can support automation prioritization and decision workflowsand its why we are leading the way.

Our innovation begins with people. We are bold curious and collaborativebecause the best ideas come from working together. Ready to make an impact Join us and lets build the future together.

About the Role

We are seeking a Data Governance & AI Trust Manager to define and operationalize the governance framework that enables highquality wellgoverned 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 companys operating data ecosystem is intentionally designed consistently governed and fit for AIenabled use cases rather than fragmented ambiguous or adhoc.

This role reports to the CISO & CIO and operates as a crossfunctional 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 companys internal data ecosystemincluding how platforms such as SharePoint Confluence Jira Slack Teams and related systems should be used togetherand 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 crossfunctional alignment without direct authority and sound judgment at the intersection of data quality AI trust security and business operations.

Your DaytoDay

Governance Framework Design & Ownership

• Own and evolve the companys Corporate Operating Data Governance framework
• Define governance standards for unstructured and semistructured 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 fitnessforpurpose data quality expectations for corporate operating data
• Define quality signals for:
  • Accuracy
  • Completeness
  • Timeliness
  • Consistency
• Partner with business teams to identify highrisk or highimpact data domains
• Ensure AIenabled 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 longterm risk from unmanaged or overretained unstructured data
• Support eDiscovery and investigation readiness through clarity and traceability

CrossFunctional 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 dataaware and AIresponsible 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 crossfunctional 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 followthrough

What Wed 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 dataplatform operating environment experience

What youll 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

Our Commitment as an Equal Opportunity Employer

As a mission-led technology company helping to drive better healthcare outcomes Abacus Insights believes that the best innovation and value we can bring to our customers comes from diverse ideas thoughts experiences and perspectives. Therefore we dedicate resources to building diverse teams and providing equal employment opportunities to all applicants. Abacus prohibits discrimination and harassment regarding race color religion age sex national origin disability status genetics protected veteran status sexual orientation gender identity or expression or any other characteristic protected by federal state or local laws.

At the heart of who we are is a commitment to continuously and intentionally building an inclusive cultureone that empowers every team member across the globe to do their best work and bring their authentic selves. We carry that same commitment into our hiring process aiming to create an interview experience where you feel comfortable and confident showcasing your strengths. If theres anything we can do to support thatbig or smallplease let us know.