Director, Computational Governance

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!

Job Summary

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.

Work arrangement:

This role offers flexibility to work away from the office for 20%-40% of a typical schedule. Employees may use this work schedule in increments of single days or multiple consecutive days, provided it does not exceed 40% within a 60-day period, and is approved by the hiring manager.

Key Responsibilities

Enterprise Governance Implementation

* 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.

Platform & Technical Leadership

* 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.

Enterprise Data Management & MDM Oversight

* 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.

Governance Metrics & Transparency

* Define and own enterprise data governance metrics, including coverage, effectiveness, and exception trends.

* Ensure governance metrics are…