Director, Corporate Data

About the role

DePuy Synthes is recruiting for a Director, Corporate Data, located in New Brunswick, NJ United States. The Director, Corporate Data leads the Data & AI strategy and delivery agenda across the DePuy Synthes Corporate Technology landscape — spanning ERP, HR, Legal, Procurement, Finance, and Corporate Affairs applications. Working in close collaboration with Corporate Technology teams, this role translates business and functional needs into a prioritized portfolio of data, analytics, and AI initiatives, manages demand end-to-end, and coordinates with the Global Capability Center (GCC) for scalable delivery. The Director serves as the primary connection point between Corporate Technology stakeholders, IT partners, and GCC delivery teams — ensuring data products, analytics, and AI capabilities are aligned to enterprise priorities and drive measurable outcomes across corporate functions.

Responsibilities

• Define and execute the Corporate Data & AI strategy in partnership with Corporate Technology and IT leadership, aligned to DePuy Synthes enterprise priorities.
• Work in close collaboration with Corporate Technology teams to understand needs from a Data and AI perspective across ERP, HR, Legal, Procurement, Finance, and Corporate Affairs applications.
• Own end-to-end demand management — intake, prioritization, and governance — for corporate data, analytics, and AI initiatives.
• Coordinate with the GCC to plan, resource, and deliver data products, analytics, and AI capabilities at scale.
• Serve as the primary point of contact between Corporate Technology, IT, Data & AI teams, and the GCC delivery organization.
• Develop and maintain a multi-year roadmap for corporate data products, reporting, advanced analytics, and AI use cases.
• Lead cross-functional teams to design and deliver data solutions supporting ERP, HR, Legal, Procurement, Finance, and Corporate Affairs processes.
• Drive adoption of data governance, master data management, data quality, and data stewardship practices across corporate data domains.
• Oversee delivery of dashboards, analytics products, predictive models, and AI-enabled solutions that improve decision making and function performance.
• Establish KPI and value-realization frameworks to track business impact from data and AI investments.
• Manage stakeholder relationships and communicate roadmaps, priorities, risks, dependencies, and achievements to leadership.
• Build organizational capability by coaching, mentoring, and developing talent across data, analytics, and AI teams, including GCC-based colleagues.
• Lead operating and portfolio governance reviews to ensure transparency, prioritization, and alignment across workstreams.
• Champion continuous improvement through advanced analytics, automation, machine learning, and emerging AI capabilities.

Qualifications

• Education Required: Bachelor's degree in Information Systems, Data Science, Computer Science, Business, Engineering, Finance, or a related field.
• Preferred: Master's degree (MBA, Analytics, Data Science, Information Systems, or a related discipline).

Required Experience and Skills

• 10+ years of progressive experience across Data & Analytics, Corporate/Enterprise Technology, or Digital Transformation, including leadership roles.
• Demonstrated experience partnering with business and IT leaders to define and deliver enterprise data and AI strategies.
• Strong understanding of corporate technology domains and their data (ERP, HR, Legal, Procurement, Finance, Corporate Affairs).
• Proven experience managing demand, prioritization frameworks, and delivery portfolios.
• Experience coordinating distributed/GCC delivery teams in a global, matrixed organization.
• Deep understanding of data governance, data quality, master data management, and the data lifecycle.
• Experience with enterprise data platforms, reporting, and advanced analytics environments.
• Strong stakeholder management, executive communication, and influencing skills.
• Demonstrated people leadership including talent development, coaching, and performance management.

Preferred Experience

• Experience with AI, machine learning, predictive analytics, and intelligent automation use cases across corporate functions.
• Experience supporting SAP-based ERP and enterprise corporate application landscapes.
• Familiarity with modern cloud data platforms and analytics ecosystems.
• Experience establishing or leading GCC delivery models.
• Experience in MedTech, Life Sciences, Healthcare, or other highly regulated industries.
• Knowledge of product-oriented delivery and agile product management practices.

Other

• Travel: Up to 20%
• Language: English proficiency required.
• Certifications (Preferred): PMP, SAFe, or relevant Cloud/Data/AI certifications.