Director, MedTech Technology Data Platforms

At Johnson & Johnsonwe believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented treated and curedwhere treatments are smarter and less invasive andsolutions are our expertise in Innovative Medicine and MedTech we are uniquely positioned to innovate across the full spectrum of healthcare solutions today to deliver the breakthroughs of tomorrow and profoundly impact health for more at .

As guided by Our Credo Johnson & Johnson is responsible to our employees who work with us throughout the world. We provide an inclusive work environment where each person is considered as an individual. At Johnson & Johnson we respect the diversity and dignity of our employees and recognize their merit.

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We are searching for top talent for Director MedTech Technology Data Platforms. This position can be based in the following locations:

Hybrid: Raritan NJ; West Chester PA; Mumbai India

Remote candidates in CA NJ and PA will be considered on a case-by-case basis and if approved by the company.

Please note that this role is available across multiple countries and may be posted under different requisition numbers to comply with local requirements. While you are welcome to apply to any or all of the postings we recommend focusing on the specific country(s) that align with your preferred location(s):

US: R-076739

India: R-077611

The Leader will own the strategy and execution of a simplified enterprise-grade data platform that advances data maturity strengthens data quality and governance and accelerates business-unit agility. Drive a lean federated operating model that balances centralized platform capabilities and guardrails with autonomy for business units to move quickly. The role focuses on platform simplification automation and enabling prioritized use cases through trusted reusable data products.

Key Responsibilities

• Define and deliver the global roadmap for a cloud-scale governed data platform (Lakehouse/data mesh patterns) that simplify the legacy platforms reduces tool and pipeline redundancy and improves data maturity across MedTech.
• Embed AI and automation across the data lifecycle (ingestion transformation quality monitoring remediation and operations) to accelerate time-to-insight and reduce manual effort.
• Scale a data-as-a-product operating model with defined ownership SLAs lifecycle management and measurable outcomes for curated data products.
• Develop and mature metadata capabilities catalog lineage and business glossary to improve discoverability trust and reuse.
• Design and implement policy-based self-service access patterns (data marketplace) that simplify consumption while implementing compliance.
• Co-Lead the MedTech Data Office drive federated governance and stewardship with clear enterprise policies and BU accountability; institutionalize data quality critical metrics automated monitoring and remediation workflows.
• Own MDM platform strategy closely partner with BU leaders to deliver for priority domains (customer product); harmonize entities hierarchies and reference data.
• Build coach and lead a distributed team across platform engineering and governance; partner closely with Business Units analytics AI/ML security privacy and regulatory partners.
• Lead with a product approach and focus on outcomes that directly support business units priorities.
• Foster a culture of data literacy pragmatic governance and continuous improvement.

Qualifications

• Computer Science Engineering or related field or equivalent combination of education and experience.
• 15 years of progressive IT leadership with major accountability for Data & Analytics and platform delivery in regulated industries (MedTech life sciences or equivalent).
• Consistent record building and running enterprise-scale data platforms (cloud-native Lakehouse data mesh) and delivering shared capabilities across global organizations.
• Hands-on and strategic mastery of cloud platforms (Azure and AWS) and modern data architectures (data Lakehouse/warehouse feature stores streaming APIs).
• Demonstrated success operationalizing federated data governance metadata/lineage and data quality within a product-oriented model.
• Experience embedding AI/ML and GenAI into platform services and operations (automation intelligent workflows quality monitoring).
• Leadership experience in Master Data Management and integration across ERP/CRM landscapes.
• Strong executive presence with a history of influencing senior stakeholders in sophisticated matrixed global organizations.
• Outcome-focused decision maker: prioritizes investments defines business-aligned goals and milestones and measures value delivery.
• Hands-on knowledge of privacy security and data risk controls in regulated environments; experienced with compliance-driven controls and audits.
• Demonstrated FinOps and cost-optimization experience for large-scale data platforms.

This position may require up to 20% domestic and international travel.

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