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Kyowa Kirin North America
Associate Director, Data Governance-Commercial Operations
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What they do
A Data Manager manages databases and coordinates data collection and analysis for a company or organization. Develops procedures for documentation and data storage. Performs or manages data analysis for studies, projects and reports.
$152,664 / year median in New Jersey
+10% projected growth
Job Description
Kyowa Kirin is a global specialty pharmaceutical company backed by more than 70 years of breakthrough life science innovation, dedicated to discovering and advancing treatments for diseases in which unmet need is greatest. Based in Japan with worldwide operations, we work across the continuum from drug discovery to commercialization, guided by our commitment to patients and their families. Our research teams, located in California and around the world, are focused on developing the next generation of antibody, cell, and gene therapies, with particular emphasis on bone and mineral disorders, hemato-oncology, and rare diseases. We accelerate development through collaborations with industry, academia, patients, and healthcare providers, and since 2018 we have introduced four new therapies serving patients with progressive illnesses often in need of new therapeutic alternatives. Our culture is grounded in our values: Commitment to Life , Integrity , Innovation , and Teamwork/Wa , and brought to life through the Kabegoe Principles, which define the behaviors and actions that guide how we work together to deliver meaningful impact for patients. We're proud of the progress we've made and mindful of the countless individuals still waiting for their own breakthroughs. A commitment to making people smile unites our efforts. Learn more at www.kkna.kyowakirin.com . J ob
Summary :
Kyowa Kirin, North America is actively seeking an Associate Director, Data Governance for our Enterprise Architecture & Data Office within Commercial Operations. This is a newly created governance leadership role accountable for establishing and running KKNA's enterprise data governance program- the data catalog and business glossary, the data access governance model, the data quality management capability, and the governance policies and SOPs that support them
- across the enterprise data lake and connected source systems. The role spans Commercial Operations, Sales & Marketing, Medical Affairs, Market Access, and Patient Services, across the full KKNA portfolio. The Associate Director serves as the operational bridge between the data platform team and the business functions that consume data
- ensuring that data assets are findable, documented, trusted, and accessible to the correct people through defined, repeatable processes.
Essential Functions:
Data Access Governance Serve as the first point of contact for all data access requests- triage, classify by data sensitivity, route to the appropriate Domain Data Owner, and track through technical provisioning performed by the Data Platform team. Maintain and publish data access request SOPs so that compliance and legal review is defined at the policy level
- not renegotiated on a per-project basis. Administer a tiered access model across all enterprise data lake environments
- covering data scientists, analysts, business users, and external partners.
- agendas, minutes, action tracking, and the enterprise governance policy register
- and prepare materials and recommendations for quarterly DMC sessions.
- assignments, accountabilities, and operating expectations
- so that each business function is accountable for the quality and definition of the data it originates.
- including business justification, compliance and privacy review, Domain Data Owner assignment, and DMC notification
- with technical assessment provided by the Data Platform and Data Architecture teams.
- the authoritative directory of all data assets in the Enterprise data lake, legacy Synapse platform, and connected source systems, including business descriptions, data owners, refresh frequency, granularity, and access tier.
- canonical definitions for key metrics that currently vary by function (patient, prescriber, market share, conversion, persistence, adherence etc )
- and drive cross-functional alignment and formal approval of those definitions. Partner with the Data Platform and Data Architecture teams to rationalize the schema catalog
- identifying and coordinating the archiving of inactive or redundant schemas from completed projects. Coordinate glossary and data model alignment with the canonical data model initiative and with downstream analytics and reporting teams. Data Quality & Vendor SLA Management Establish and maintain a data quality scorecard for priority datasets
- specialty pharmacy and distributor feeds, claims, payer policy, tokenized data, and CRM data
- tracking accuracy, completeness, and timeliness.
- documenting root causes, remediation actions, and process changes to prevent recurrence. Cross-Functional Partnership & User Enablement Act as the primary liaison between the commercial, medical, market access, and patient services business teams and the Data Platform / IT function
- translating data requirements, quality expectations, and governance decisions into clear, actionable outcomes. Develop and maintain function-specific data consumer guides
- plain-language references to what data each team can access, how to request more, and who to contact. Run new-user onboarding for all enterprise data lake access
- ensuring users understand the catalog, available data assets, access tiers, and governance expectations before access is provisioned. Host monthly data office hours
- open sessions for business stakeholders to bring data questions, access requests, quality feedback, or glossary input. Define, track, and report enterprise data governance metrics
- including data quality performance, issue resolution time, access request cycle time, catalog coverage, and adoption of governed definitions.
Job Requirements:
Education Bachelor's degree in a relevant field (Data Science, Business Analytics, Information Systems, Life Sciences, or equivalent) required; Master's degree preferred. CDMP (Certified Data Management Professional), DCAM, DAMA, or equivalent data governance certification preferred. Experience 8-10+ years of experience in data management, data governance, data catalog, or data stewardship, with a significant portion spent in the pharmaceutical, biotech, or life sciences industry. Experience supporting or operating a data governance committee, data council, or cross-functional steering group- including charter design, agenda facilitation, decision documentation, and action tracking. Demonstrated experience building or leading an enterprise data governance program from an early stage
- including framework design, policy and SOP authorship, data ownership models, and driving adoption across functions outside of direct reporting authority. Demonstrated experience maintaining a data catalog or metadata management platform (Collibra, Alation, Informatica, Microsoft Purview, Unity Catalog, or equivalent). Experience designing and implementing data access governance processes
- including role-based access models, tiered access frameworks, and periodic access audit procedures
- in partnership with the technical teams responsible for provisioning. Demonstrated experience defining canonical business metric definitions and reconciling conflicting definitions across commercial and non-commercial stakeholders. Experience establishing data quality management practices
- scorecards, thresholds, severity-based issue triage, and remediation tracking
- for third-party and internally generated data assets.
HIPAA, PII, PHI
data handling requirements, and pharmaceutical industry data privacy and compliance standards, with demonstrated experience establishing durable data boundary rules in partnership with Legal, Privacy, and Compliance. Demonstrated ability to communicate across both technical and business audiences- translating data infrastructure and governance decisions into plain-language guidance that business stakeholders can act on. Strong written communication skills
- demonstrated ability to produce SOPs, data governance policies, data dictionaries, and business-facing reference documents.
- matching, de-duplication, survivorship, and hierarchy management
- as applied to HCP, HCO, and patient data domains.