Sr Director, GCC Data & AI Delivery Orthopedics

At Johnson & Johnson, we believe health is everything. Our strength in healthcare innovation empowers us to build a world where complex diseases are prevented, treated, and cured, where treatments are smarter and less invasive, and solutions 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 .

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Job Function:

Technology Product & Platform Management

Job Sub Function:

Technical Product Management

Job Category:

People Leader

All Job Posting Locations:

Bangalore, Karnataka, India

Job Description:

Sr. Director, GCC Data & AI Delivery

Location: Bangalore, India

DePuy Synthes is recruiting for a(n) Sr. Director, GCC Data & AI Delivery.

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 Sr. Director, GCC Data & AI Delivery is a senior leadership role responsible for building and scaling Data & AI delivery capabilities within the Bangalore Global Capability Center (GCC). This role will lead the execution of enterprise data, analytics, and AI programs that enable data‑driven decision making and support business transformation across DePuy Synthes.

The position offers a high‑impact opportunity to shape a modern data ecosystem, drive innovation through advanced analytics and AI solutions, and lead global delivery teams to create measurable business value.

This is a greenfield, build-first role. The GCC is not a support function t is the technical engine behind the company's AI-ready data future. The Sr. Director owns the India capability end-to-end, with real decision rights over how we build, who we hire, and how we deliver, with a direct line to the CDAO.

Key Responsibilities

Delivery & Execution

Lead the delivery of enterprise Data & AI programs, aligning initiatives with organizational strategy and business priorities

Own the delivery of data products, platforms, and business solutions in partnership with product, analytics, and engineering teams

Drive planning and execution of strategic Data & AI initiatives, including oversight of timelines, approvals, and communication plans

Own the full delivery lifecycle of agentic AI and data product pipelines, including the semantic layer, ontology, knowledge graph, and MLOps, ensuring they are production-ready and trusted by the business

Partner with the US-based Chief Data & AI Architect to ensure all India builds conform to the target-state architecture and platform standards before delivery begins

Manage the onshore-offshore delivery model, keeping the seam between US strategy and India execution seamless dependencies, SLAs, and delivery health across all pods

Team Leadership & Talent

Build and scale a high-performing GCC Data & AI organization, including talent development, coaching, and succession planning

Lead cross-functional teams in a matrix environment and provide mentoring, coaching, and leadership development

Build a culture of technical ownership and AI-first thinking this is a capability center, not an execution annex talent here holds real decision rights over how things are built

Governance & Standards

Establish and implement data governance, quality, and standards to ensure consistency, security, and accessibility of enterprise data

Manage operational aspects of the organization, including budget, performance, compliance, and vendor management

Partner with the US-based Director, Data Governance, Privacy & Regulatory to execute MDM, reference data, and data quality as the operational arm of the single source of trust

Ensure all AI and ML models deployed from India conform to the Responsible AI and Model Risk framework set by the US AI lead   no model reaches production without passing governance review

Stakeholder Partnership

Partner with internal and external stakeholders to translate business needs into scalable data and AI solutions

Communicate strategic initiatives, progress, and outcomes to senior leadership, ensuring alignment and visibility

Serve as the primary India-side partner to the CDAO and all US functional leads the Architect, AI & Agentic Data Experience Leader, Governance, and Data Science & AI acting as the delivery conduit that turns US direction into India execution

Culture & Values

Foster a culture aligned with the company's values, emphasizing innovation, accountability, and continuous improvement

Model an engineering culture that rewards technical depth, moves with urgency, and holds a high bar for quality

Qualifications

Education Bachelor’s degree in Computer Science, Data Science, Engineering, Information Systems, or related field required

Master’s degree (MBA, MS, or equivalent) preferred

Experience and Skills Required:

Generally requires 10–12 years of relevant experience in data, analytics, AI, or technology delivery, including leadership responsibility

Proven experience leading large‑scale Data & AI or data platform delivery programs in global or matrixed organizations

Strong expertise in enterprise data architecture, data engineering, analytics, and AI/ML solutions

Demonstrated experience managing cross-functional teams and driving strategic initiatives

Experience establishing data governance, quality, and lifecycle management practices

Strong leadership, communication, and stakeholder management skills at senior levels

Experience managing budgets, operational performance, and compliance in a global delivery model

Proven experience building or scaling a GCC or captive offshore delivery center from early stage, not just managing steady-state teams

Hands-on technical fluency across modern data stack: cloud-native platforms, data lakehouse architecture, semantic and ontology layers, MLOps pipelines, and agentic AI frameworks

Experience standing up MDM, master data, and reference data platforms as the foundation of a governed, trusted data environment

Strong operating model experience: running onshore-offshore pod structures, managing SLAs across geographies, and owning the delivery seam between strategy and execution

Preferred:

Experience in healthcare, MedTech, or other regulated industries

Experience establishing or scaling Global Capability Centers (GCCs)

Familiarity with cloud-based data platforms (AWS, Azure, GCP)

Experience delivering advanced analytics, machine learning, and AI solutions at scale

Strong understanding of data governance, privacy, and regulatory frameworks

Experience driving digital transformation initiatives

Hands-on experience with agentic AI platforms, LLM-based data products, knowledge graph, and ontology design

Familiarity with semantic layer tools and data product frameworks (Apache Atlas, Collibra, or equivalent)

Experience partnering with a US-based functional leadership team in a dual-lead model, where India owns the build and the US owns the standards

Other:

Language: Fluent English (written and verbal)

Travel: Up to 20% international travel, as required

Certifications: Cloud, Data, or AI certifications (preferred)

For more information on how we support the whole health of our employees throughout their wellness, career and life journey, please visit www.careers.jnj.com .

Required Skills:

Preferred Skills:

Analytical Reasoning, Cost Management, Developing Others, Fact-Based Decision Making, Human-Computer Interaction (HCI), Inclusive Leadership, Industry Analysis, Leadership, People Performance Management, Performance Measurement, Policy Development, Product Development, Product Strategies, Project Management Methodology (PMM), Research and Development, Software Development Management, Strategic Supply Chain Management, Tactical Planning