Job Description & How to Apply Below
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, we're tackling big challenges in an industry that's ready for change. Our platform enables GenAI use cases by delivering clean, connected, and reliable healthcare data to support automation, prioritization, and decision workflows—and it's why we are leading the way.
Our innovation begins with people. We are bold, curious, and collaborative—because the best ideas come from working together. We embrace the thoughtful use of AI and automation to drive innovation and efficiency, and we look for individuals who are curious and adaptable—those excited to leverage emerging technologies to enhance how we work—while keeping human insight, connection, and our clients at the center of every decision.
Ready to make an impact Join us and let's 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 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 AIenabled use cases, rather than fragmented, ambiguous, or adhoc.
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.
Candidates based within commuting distance of our Pune office will be considered, as well as those located outside Pune who would require a remote arrangement. Candidates in the Pune area will be required to work from the office 3 days per week.
Your Dayto 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,…
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