Sr. Director, Data & Agentic AI Experience, Orthopedics

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Senior Director Data & Agentic AI Experience

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Location: Raritan New Jersey Raynham Massachusetts Palm Beach Gardens Florida Westchester Philadelphia Warsaw Indiana

DePuy Synthes is recruiting for a Sr. Director Enterprise Data & Agentic AI Experience

Johnson & Johnson announced plans to separate our Orthopedics business to establish a standalone orthopedics company operating as DePuy Synthes. The process of the planned separation is anticipated to be completed within 18 to 24 months subject to legal requirements including consultation with works councils and other employee representative bodies as may be required regulatory approvals and other customary conditions and approvals. Should you accept this position it is anticipated that following conclusion of the transaction you would be an employee of DePuy Synthes and your employment would be governed by DePuy Synthes employment processes programs policies and benefit that case details of any planned changes would be provided to you by DePuy Synthes at an appropriate time and subject to any necessary consultation processes.

Job Overview

The Senior Director Data & Agentic AI Experience serves as the single front door to the business for all Enterprise Data AI Agentic AI Analytics and Intelligent Automation initiatives. This role is accountable for shaping enterprise demand governing the portfolio of investments translating business strategy into a funded AI roadmap and ensuring measurable business value realization across the organization.

As the strategic bridge between business functions and technology teams the leader owns the relationship with senior business stakeholders and serves as the primary advisor on how Data AI Generative AI Agentic AI and Digital Experiences can accelerate business growth operational excellence productivity decision making and innovation.

This executive will lead a team of domain-facing Data & AI leaders and business consultants responsible for identifying opportunities defining business capabilities prioritizing investments and orchestrating delivery across enterprise data analytics AI platforms and digital products.

A critical component of this role is defining and governing the Enterprise Agentic AI Experience Strategy by determining how AI agents copilots intelligent assistants and autonomous workflows are embedded into daily business processes and employee experiences. The leader will ensure AI adoption is measured against clear business outcomes productivity improvements user satisfaction and financial impact.

Additionally this role will establish and lead the enterprise AI Experience Marketplace creating a scalable model for business teams to discover adopt reuse and govern AI agents copilots data products and intelligent services across the enterprise.

This position requires a unique blend of business strategy product management AI innovation data leadership organizational change management and executive stakeholder engagement.

Key Responsibilities

Enterprise Data & AI Business Partnership

• Serve as the primary executive relationship owner for Business Data Analytics AI and Agentic AI demand.
• Act as the trusted advisor to executive leadership on opportunities to leverage data predictive analytics Generative AI and agentic capabilities.
• Lead business capability assessments and value discovery initiatives across commercial supply chain finance operations quality manufacturing digital customer experience and corporate functions.
• Translate functional and business strategies into Data AI and Agentic AI investment portfolios.
• Build strategic partnerships across business functions to identify transformational opportunities and ensure alignment to enterprise priorities.
• Drive executive decision-making regarding Data & AI investments priorities and funding decisions.

AI Demand Management & Portfolio Ownership

• Own the end-to-end Enterprise Data & AI portfolio including demand intake evaluation prioritization funding governance delivery oversight and value realization.
• Establish portfolio management practices that balance innovation operational efficiency risk mitigation and business outcomes.
• Govern investment decisions using measurable business cases ROI targets adoption metrics productivity measures and value realization frameworks.
• Chair enterprise AI demand review and prioritization forums.
• Drive portfolio transparency executive reporting and performance management.

Agentic AI Strategy & Experience Design

• Define and own the enterprise Agentic AI strategy and vision.
• Lead the design of intelligent agent experiences that transform how employees interact with data systems and business processes.
• Establish principles for Human AI collaboration agent orchestration autonomous workflows and AI-assisted decision making.
• Define how AI agents appear within daily business workflows and employee experiences.
• Ensure agentic solutions are designed around measurable business outcomes rather than technology deployment.
• Drive adoption of enterprise copilots digital assistants AI agents and autonomous business capabilities.
• Create frameworks for scalable implementation of agentic experiences across business functions.

AI Experience Marketplace Leadership

• Build and govern an Enterprise AI Experience Marketplace that enables business users to discover adopt and scale AI solutions.
• Define standards for publishing governing and lifecycle management of AI agents copilots intelligent applications and reusable data products.
• Drive marketplace adoption strategies and user engagement programs.
• Establish AI product catalog reusable capabilities and self-service consumption models.
• Partner with platform and architecture teams to create a scalable ecosystem for AI innovation.
• Measure marketplace success through adoption reuse business impact and productivity gains.

Business Capability Planning & AI Roadmap Development

• Lead capability-based planning to identify opportunities where Data Analytics AI and Agentic AI can accelerate business outcomes.
• Translate business priorities into multi-year Data & AI roadmaps.
• Partner with domain leaders to create funding strategies investment plans and implementation roadmaps.
• Develop prioritization models based on strategic importance business value complexity risk and readiness.
• Ensure roadmaps align with enterprise architecture platform strategy governance and compliance requirements.

Value Realization & Adoption

• Own enterprise Data & AI value realization processes and outcome governance.
• Define KPI frameworks that measure adoption productivity operational efficiency decision quality employee experience and financial return.
• Establish executive dashboards tracking benefits realization and portfolio performance.
• Drive organizational change management and business adoption strategies.
• Ensure sustained business value from AI investments through continuous optimization and performance tracking.
• Create accountability mechanisms that link AI initiatives directly to business outcomes.

Data Strategy Governance & Product Leadership

• Partner with enterprise architecture engineering governance and platform organizations to ensure business priorities are translated into scalable solutions.
• Drive enterprise data strategy alignment across domains.
• Ensure data quality governance accessibility interoperability privacy and security requirements are met.
• Champion a product-centric operating model for data and AI capabilities.
• Oversee lifecycle management for enterprise data products AI products and digital experiences.

Leadership & Organization Development

• Lead a global team of Data & AI Business Partners Domain Leaders Product Managers AI Strategists and Experience Leaders.
• Develop organizational capabilities in AI product management business consulting value realization and agentic experience design.
• Foster a culture of innovation accountability customer-centricity and measurable business impact.
• Partner across global delivery engineering architecture and platform organizations to execute at scale.
• Build succession pipelines and leadership capability across the Data & AI organization.

Experience

Required

• 15 years of leadership experience in Enterprise Data Analytics Digital Transformation AI Product Management or Technology Strategy.
• 8 years leading enterprise-scale Data and AI organizations.
• Proven success partnering with executive leadership and business stakeholders to define strategic priorities.
• Demonstrated experience owning enterprise demand management investment planning and portfolio governance.
• Experience translating business strategy into funded transformation roadmaps.
• Strong understanding of Data Platforms Cloud Ecosystems Analytics AI/ML Generative AI and Agentic AI architectures.
• Experience leading enterprise product organizations and driving product-centric operating models.
• Strong executive communication and stakeholder management skills.
• Experience managing multimillion-dollar portfolios and budgets.
• Proven record of delivering measurable business outcomes through technology-enabled transformation.

Preferred

• Experience implementing Agentic AI AI Agents Autonomous Workflows Multi-Agent Architectures and Enterprise Copilot platforms.
• Experience establishing or managing AI Experience Marketplaces or Digital Product Marketplaces.
• Experience with Microsoft Copilot Azure AI OpenAI Agent Frameworks LangGraph Semantic Kernel or enterprise AI ecosystems.
• Experience in MedTech Healthcare Life Sciences Pharmaceutical or highly regulated industries.
• Strong understanding of Responsible AI AI Governance AI Risk Management and regulatory compliance.
• Experience driving enterprise-wide adoption and change management programs.
• Experience working with global and offshore delivery organizations.

Qualifications

Education:

• Bachelors degree required (Computer Science Data Science Engineering Business or related field)
• Masters degree or MBA preferred

Other

• Language Requirements: Strong English communication skills required
• Travel: Up to 2030% (domestic and international)
• No specific certification required; relevant certifications (e.g. cloud AI/ML data architecture) are a plus

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Johnson & Johnson is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race color religion sex sexual orientation gender identity age national origin disability protected veteran status or other characteristics protected by federal state or local law. We actively seek qualified candidates who are protected veterans and individuals with disabilities as defined under VEVRAA and Section 503 of the Rehabilitation Act.

Johnson and Johnson is committed to providing an interview process that is inclusive of our applicants needs. If you are an individual with a disability and would like to request an accommodation please email the Employee Health Support Center () or contact AskGS to be directed to your accommodation resource.

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