Sr. Director, Data & Agentic AI Experience, Orthopedics

Johnson & Johnson Innovative Medicine

Raritan (NJ)

On-site

USD 230,000 - 370,000

Full time

14 days+

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Job summary

Johnson & Johnson is recruiting for a Senior Director, Data & Agentic AI Experience to lead enterprise data, AI, Generative AI, and intelligent automation initiatives. This role serves as the strategic bridge between business functions and technology teams, guiding senior stakeholders and shaping a funded AI roadmap with measurable business value.

The leader will manage a team of Data & AI leaders and business consultants, define governance for AI experiences, and establish an AI Experience

Job description

At Johnson & Johnson,we believe health is everything. Our strength in healthcare innovation empowers us to build aworld where complex diseases are prevented, treated, and cured,where treatments are smarter and less invasive, andsolutions are personal.Through 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 humanity.Learn more at jnj.com

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.

Job Function:

Enterprise Management

Job Sub Function:

Technology Management

Job Category:

People Leader

All Job Posting Locations:

Raritan, New Jersey, United States of America

Job Description:

Senior Director, Data & Agentic AI Experience

Job ID: 10022520

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 plans. In 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.
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