Director, AI & Digital Solutions Capabilities

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.

Job Function:

Data Analytics & Computational Sciences

Job Sub Function:

Business Intelligence

Job Category:

People Leader

All Job Posting Locations:

Bangalore Karnataka India

Job Description:

Shape and lead Procurements digital and AI strategy translating business priorities into scalable capabilities and measurable value. Serve as the strategic connector across Procurement Global Process Owners (GPOs) JJT data teams and partners aligning requirements experience delivery adoption and value realization.

Johnson & Johnson is seeking a Director AI & Digital Solutions Capabilities based in Bengaluru India. The role will define and lead Procurements enterprise digital and AI transformation agenda including strategic portfolio choices agentic AI ambition future-state capabilities operating model adoption and workforce transformation. The leader will keep business impact at the center shape enterprise-wide choices and ensure investments form a coherent scalable secure and human-centered capability ecosystem.

Procurement digital and AI strategy: Set the vision and strategic direction for how digital data and AI will reshape Procurement. Translate enterprise and business priorities into a coherent multi-year transformation agenda future-state capability roadmap and differentiated value proposition.

AI transformation and value agenda: Own the AI-enabled transformation thesis and identify the few enterprise big bets capable of materially improving cash flow savings productivity decision quality resilience compliance and stakeholder experience. Define value cases success measures and mechanisms for sustained value realization.

Agentic AI and future-state capability ecosystem: Define Procurements ambition and roadmap for agentic and multi-agent AI including target operating models human and agent accountabilities orchestration principles responsible scale and increasingly autonomous workflows. Ensure platforms intelligent products AI-ready data reusable services and experiences form a connected ecosystem.

Enterprise alignment and operating model: Serve as the senior strategic integrator across Procurement GPOs JJT data teams enterprise AI teams and partners. Align business strategy process ownership requirements architecture delivery roadmaps governance decision rights and accountabilities into one executable enterprise agenda.

Strategic portfolio and investment governance: Shape and govern the portfolio of digital and AI investments including prioritization principles sequencing funding choices enterprise dependencies and trade-offs. Concentrate resources on scalable capabilities and stop redirect or consolidate lower-value and fragmented activity.

Experience adoption and workforce transformation: Define the enterprise strategy for experience adoption and organizational readiness. Shape persona journeys communications learning feedback behavior change and the evolution of Procurement roles skills and ways of working so that AI capabilities achieve sustained adoption and business impact.

External innovation and strategic partnerships: Build an outside-in innovation ecosystem across suppliers startups technology partners and enterprise teams. Anticipate market and technology shifts translate emerging possibilities into pragmatic strategic choices and accelerate differentiated capabilities through partnerships and reuse.

Executive influence and organizational leadership: Advise senior leaders on strategic opportunities investment choices trade-offs dependencies and risks. Build alignment around difficult decisions create a compelling transformation narrative and lead multidisciplinary teams with enterprise thinking inclusion accountability and innovation.

A distinctive Procurement digital and AI ambition translated into an enterprise-backed multi-year transformation roadmap.

A concentrated investment portfolio built around high-value big bets clear trade-offs and measurable enterprise outcomes.

A future-state agentic operating model connecting people data platforms workflows governance and decisions.

Enterprise alignment across Procurement GPOs JJT data teams and partners on priorities accountabilities and sequencing.

A future-ready Procurement organization with sustained adoption transformed ways of working and realized business value.

Required: Bachelors degree or equivalent in Business Supply Chain Procurement Technology Engineering Data Analytics or a related field.

Preferred: MBA or other relevant advanced degree.

12-15 years of experience in Procurement Supply Chain Digital Technology Product Management Data Analytics AI or a related function including at least 5 years in people leadership.

Experience shaping and executing enterprise digital AI or technology-enabled business transformation in a complex global matrix.

Demonstrated ability to connect strategy business requirements process transformation technology delivery adoption and measurable value realization.

Strong understanding of AI generative AI agentic AI intelligent automation digital products data foundations and platform ecosystems.

Experience managing product portfolios from ideation and proof of concept through production scale adoption and lifecycle management.

Proven ability to influence senior stakeholders align competing priorities facilitate decisions and build trusted partnerships without direct authority.

Strong change leadership communication facilitation storytelling and capability-building skills across diverse user groups.

Business-value mindset with the ability to define outcomes KPIs value cases adoption measures and portfolio trade-offs.

Experience leading multidisciplinary teams across geographies and organizational boundaries.

Ability to simplify complexity operate with ambiguity and deliver outcomes in a rapidly evolving technology landscape.

Knowledge of Source-to-Pay process and procurement operations.

Experience with AI assistants multi-agent architecture orchestration conversational experiences SaaS-embedded AI and enterprise AI governance.

Experience partnering with technology teams on architecture integration security responsible AI and production support.

Experience with external innovation ecosystems citizen development and Global Capability Center environments.

Familiarity with Microsoft Copilot and Copilot Studio ServiceNow SAP sourcing and CLM platforms BI tools cloud/data platforms and AI development environments.

Required Skills:

Preferred Skills:

Advanced Analytics Business Intelligence (BI) Business Savvy Cross-Functional Collaboration Data Analysis Data Governance Data Privacy Standards Data Quality Developing Others Inclusive Leadership Leadership Master Data Management (MDM) Performance Measurement Process Improvements Resource Planning Software Development Management Tactical Planning Team Management Transparency Reporting Workflow Analysis