Director, Computational Governance

Genmab • Princeton, NJ

11h • Hybrid

About The Position

At Genmab, we are dedicated to building extra[not]ordinary® futures, together, by developing antibody products and groundbreaking, knock-your-socks-off KYSO antibody medicines® that change lives and the future of cancer treatment and serious diseases. We strive to create, champion and maintain a global workplace where individuals’ unique contributions are valued and drive innovative solutions to meet the needs of our patients, care partners, families and employees. Our people are compassionate, candid, and purposeful, and our business is innovative and rooted in science. We believe that being proudly authentic and determined to be our best is essential to fulfilling our purpose. Yes, our work is incredibly serious and impactful, but we have big ambitions, bring a ton of care to pursuing them, and have a lot of fun while doing so. Does this inspire you and feel like a fit? Then we would love to have you join us! The Director, Computational Governance is responsible for designing, implementing, and scaling Genmab’s Enterprise Data Governance program through platform-native, automated, and measurable controls, with Unity Catalog serving as the backbone for access control, lineage, classification, auditability, and governance metrics. This role owns the translation of governance and regulatory intent into enforceable technical capabilities embedded within Genmab’s cloud lakehouse architecture. Rather than creating policy frameworks or manual processes, this role builds and operates computational governance using Unity Catalog, policy-as-code, and automation. The role provides enterprise-level stewardship of data governance and master data practices, ensuring that governance scales consistently across domains while enabling Data Product Leads to own delivery, adoption, and value realization within their domains.

Requirements

• 10+ years of experience in data platforms, data governance, data engineering, MDM, or related technical leadership roles.
• Hands-on experience implementing governance and MDM through modern cloud data platforms.
• Proven ability to translate policy and master data intent into enforceable technical controls.
• Experience coordinating federated MDM implementations across multiple business domains.
• Experience leading enablement efforts for data stewards or similar federated governance communities.
• Experience scaling governance without large centralized teams.

Nice To Haves

• Hands-on experience with Databricks Unity Catalog for access control, lineage, classification, and auditability.
• Experience overseeing or implementing Master Data Management (MDM) solutions and matching strategies in complex enterprises.
• Experience designing or operating data ingestion, observability, and data quality frameworks.
• Experience partnering effectively with Data Product Leads and business data stewards.
• Familiarity with regulated environments such as biotech, pharma, or healthcare.

Responsibilities

• Own the implementation of Genmab’s computational governance model, translating policy intent into standardized, automated, and auditable controls.
• Implement governance across access control, data classification, lineage, retention, and data quality enforcement using platform-native capabilities.
• Ensure governance is embedded in data platforms rather than implemented through manual processes or centralized approvals.
• Serve as the technical authority for enterprise data governance within the lakehouse architecture, with deep hands-on understanding of Databricks Unity Catalog.
• Design and standardize governance patterns leveraging Unity Catalog for centralized access control, classification, lineage, and auditability.
• Partner with the Data Platform team to evolve Unity Catalog–based governance capabilities aligned to enterprise strategy and regulatory expectations.
• Implement governance using native platform features wherever possible, minimizing bespoke or manual solutions.
• Provide enterprise-level oversight of Master Data Management (MDM) practices across domains, ensuring consistency, alignment, and interoperability of mastering approaches while respecting domain ownership.
• Coordinate with Data Product Leads responsible for domain MDM implementations (e.g., Site, Vendor, Product mastering) to align matching rules, survivorship logic, identifiers, and reference data standards.
• Establish enterprise principles and guardrails for master data, including golden record concepts, cross-domain identifiers, and integration patterns.
• Partner with platform teams to ensure master data outputs are governed through Unity Catalog, including lineage, access control, and auditability.
• Define and own enterprise data governance metrics, including coverage, effectiveness, and exception trends.
• Ensure governance metrics are system-generated and used to drive continuous improvement across domains.
• Lead, enable, and educate the community of business data stewards across Genmab on best practices associated with the computational governance strategy.
• Establish clear guidance, playbooks, and enablement materials for stewards on how to appropriately use and audit role-based access control (RBAC), onboard new data assets, and apply governance standards during ingestion.
• Partner with Data Platform and Data Product teams to ensure stewards understand and can effectively leverage enterprise onboarding, ingestion, observability, export and data quality frameworks.
• Promote consistent stewardship practices across domains, ensuring governance intent is applied uniformly without creating manual review bottlenecks.
• Partner with Data Product Delivery teams to translate enterprise standards into enforceable controls.
• Provide guidance and guardrails to ensure governance patterns are consistently applied across domains without centralizing delivery responsibility.
• Partner with Global Data Privacy Office to operationalize regulatory and data protection intent through technical controls.
• Work with Information Security to align governance with security requirements.
• Support audits by providing system-generated evidence of governance enforcement and master data controls.
• Lead innovation using automation and machine learning to scale metadata capture, classification, and governance coverage.
• Continuously evaluate new platform capabilities to reduce manual governance effort.

Benefits

• 401(k) Plan: 100% match on the first 6% of contributions
• Health Benefits: Two medical plan options (including HDHP with HSA), dental, and vision insurance
• Voluntary Plans: Critical illness, accident, and hospital indemnity insurance
• Time Off: Paid vacation, sick leave, holidays, and 12 weeks of discretionary paid parental leave
• Support Resources: Access to child and adult backup care, family support programs, financial wellness tools, and emotional well-being support
• Additional Perks: Commuter benefits, tuition reimbursement, and a Lifestyle Spending Account for wellness and personal expenses

What This Job Offers

• Job Type: Full-time
• Career Level: Director
• Education Level: No Education Listed