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Data Governance and AI Trust Manager at Abacus Insights
Pune, India Full-timeSecurity & ITPosted 23 days ago
Apply with PipelineAbout the Role
<div class="content-intro"><p class="p1"><span style="font-size: 12pt;"><strong>About Us</strong></span></p>
<p class="p1"><span style="font-size: 12pt;">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.</span></p>
<p class="p1"><span style="font-size: 12pt;">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.</span></p>
<p class="p1"><span style="font-size: 12pt;">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.</span></p>
<p class="p1"><span style="font-size: 12pt;">Ready to make an impact? Join us and let’s build the future together.</span></p></div><p><strong>About the Role</strong></p>
<p><span style="font-size: 12pt;">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.</span></p>
<p><span style="font-size: 12pt;">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.</span></p>
<p><span style="font-size: 12pt;">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.</span></p>
<p><span style="font-size: 12pt;">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).</span></p>
<p><span style="font-size: 12pt;">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.</span></p>
<p><span style="font-size: 12pt;">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.</span></p>
<p><span style="font-size: 12pt;"><strong>Your Day‑to‑Day</strong></span></p>
<p><span style="font-size: 12pt;"><strong>Governance Framework Design & Ownership</strong></span></p>
<ul>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Own and evolve the company’s Corporate Operating Data Governance framework</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Define governance standards for unstructured and semi‑structured data across collaboration and productivity platforms</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Establish clear ownership models (Data Owners, Data Stewards, Custodians) for operating data domains</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Ensure governance practices enable business velocity rather than obstruct it</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Operationalize governance through native platform capabilities (e.g., metadata, permissions, retention, labeling, workflows) rather than standalone governance tooling</span></li>
</ul>
<p><span style="font-size: 12pt;"><strong>Metadata, Classification & AI Eligibility</strong></span></p>
<ul>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Define and maintain metadata standards, including:</span>
<ul>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Data classification</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Purpose of use</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Lifecycle state</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">AI eligibility and exclusion rules</span></li>
</ul>
</li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Partner with Security and Legal to ensure alignment with privacy, regulatory, and contractual obligations</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Embed metadata and classification standards directly into existing platforms rather than creating parallel systems</span></li>
</ul>
<p><span style="font-size: 12pt;"><strong>Data Quality & Trustworthiness</strong></span></p>
<ul>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Establish fitness‑for‑purpose data quality expectations for corporate operating data</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Define quality signals for:</span>
<ul>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Accuracy</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Completeness</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Timeliness</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Consistency</span></li>
</ul>
</li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Partner with business teams to identify high‑risk or high‑impact data domains</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Ensure AI‑enabled experiences are grounded in authoritative, explainable, and traceable data sources</span></li>
</ul>
<p><span style="font-size: 12pt;"><strong>Lifecycle, Retention & Risk Management</strong></span></p>
<ul>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Define lifecycle expectations for operating data, including creation, maintenance, archival, and deletion</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Coordinate retention and defensibility standards to support legal, compliance, and audit needs</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Reduce long‑term risk from unmanaged or over‑retained unstructured data</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Support eDiscovery and investigation readiness through clarity and traceability</span></li>
</ul>
<p><span style="font-size: 12pt;"><strong>Cross‑Functional Execution & Enablement</strong></span></p>
<ul>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Drive accountability across Product, Engineering, Security, Legal, IT, and Business teams</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Establish practical governance cadences, reporting, and decision forums</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Provide authoritative guidance and operating standards while enabling teams with clear, pragmatic direction</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Foster a data‑aware and AI‑responsible culture through enablement and education rather than enforcement alone</span></li>
</ul>
<p><span style="font-size: 12pt;"><strong>What You Bring to the Team</strong></span></p>
<ul>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">6+ years of experience in data governance, data management, AI governance, security, or related operational leadership roles</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience governing corporate operating data (unstructured/semi-structured data across AI platforms)</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Strong understanding of data quality concepts and lifecycle management</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Familiarity with AI risk considerations including data provenance, bias, privacy, and misuse</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Demonstrated ability to drive cross‑functional execution without direct authority</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Excellent written and verbal communication skills for executive and technical audiences</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Sound judgment balancing governance rigor with business pragmatism</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">High degree of ownership and follow‑through</span></li>
</ul>
<p><span style="font-size: 12pt;"><strong>What We’d Like to See (Not Required)</strong></span></p>
<ul>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience supporting AI governance, AI enablement, or responsible AI initiatives</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Exposure to regulated environments (HIPAA, HITRUST, SOC 2, GovRAMP, or similar)</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Familiarity with collaboration platforms such as Jira, Confluence, Slack, and Microsoft 365</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Experience partnering closely with Security, Legal, or Risk teams</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">SaaS or data‑platform operating environment experience</span></li>
</ul>
<p><span style="font-size: 12pt;"><strong>What you’ll get in return </strong></span></p>
<ul>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Competitive Leave & Benefits</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Comprehensive health coverage</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Equity for every employee – share in our success</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Growth-focused environment – your development matters here</span></li>
</ul>
<p><span style="font-size: 12pt;"><strong>Work arrangements </strong></span></p>
<ul>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Standard hours: 9 hours/day, 5 days/week</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Location: Pune, Hybrid (3 days a week in office)</span></li>
<li style="font-size: 12pt;"><span style="font-size: 12pt;">Shift: Your standard working hours will be nine (9) hours per day within the Company’s standard working hours. Specific working hours may vary based on business needs.</span></li>
</ul><div class="content-conclusion"><p class="p1"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;"><strong>Our Commitment as an Equal Opportunity Employer</strong></span></p>
<p class="p1"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">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.</span></p>
<p class="p1"><span style="font-size: 12pt; font-family: helvetica, arial, sans-serif;">At the heart of who we are is a commitment to continuously and intentionally building an inclusive culture—one 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 there’s anything we can do to support that—big or small—please let us know.</span></p></div>
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