Sr. Manager, Digital Solutions & AI

Johnson Johnson; Bengaluru; On-site; INR 3,500,000 - 7,000,000; Full time

Job summary

Johnson & Johnson is seeking a Sr. Manager, Procurement Digital Solutions & AI in Bangalore. The role leads intelligent workflow design across global processes, data and AI ecosystems, delivering cohesive, scalable procurement automation.

You will oversee AI roadmaps, ensure milestones are met, and manage cost/value with a focus on agentic AI principles, human-in-the-loop controls, and enterprise standards. Strong leadership and cross-functional collaboration are required.

Qualifications

• Bachelor's degree in Engineering, Data Science, Computer Science, Information Systems, or related field.
• 10+ years in a blend of business analysis, process engineering, product/solution design, intelligent automation, and/or AI solution delivery.
• 1-3+ years of people leadership and/or leading delivery pods as a first-line manager.
• Experience designing and implementing Retrieval-augmented generation (RAG) and enterprise knowledge integration.

Responsibilities

• Intelligent End-to-End Workflow Solutioning across platforms, data integration, and orchestration.
• Agentic AI capability mapping and design pattern recommendations to match process risk and automation goals.
• Delivery governance, backlog planning, and adoption enablement to ensure value realization.

Skills

AI workflow patterns

Agentic AI concepts

Data science fluency

LLM/GenAI integration

Education

Bachelor's degree in Engineering, Data Science, Computer Science, Information Systems or related field

Job description

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 .

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

Professional

All Job Posting Locations

Bangalore, Karnataka, India

Job Description

The Sr. Manager, Procurement Digital Solutions & AI will sit within the Procurement Digital Solutions & AI organization, and shape the solution bridge between global process objectives and AI-enabled capabilities. In partnership with the Global Process, Data, IT, and SAAS supplier stakeholders, this role is responsible for translating process objectives into high-level intelligent workflow designs, connecting data and intelligent capabilities across the internal & SAAS-based AI ecosystem, and across end-to-end Procurement to deliver cohesive, and scalable outcomes.

This position will also oversee & manage the delivery against AI roadmaps, ensuring milestones are met and work is executed with quality and discipline. They will also ensure the on-going effectiveness of agentic-based solutions through both cost & value management.

Key Accountabilities

1. Intelligent End-to-End Workflow Solutioning - 40%
   • Define high-level solution patterns for intelligent workflows (end-to-end), including platforms / components, data integration points, orchestration approach, and experience flow.
   • Define how SaaS platform AI, internal AI agents/assistants, and an orchestration layer work together to deliver a cohesive human-centered experience.
   • Establish clear tradeoffs (build vs. buy vs. augment), aligning to feasibility, cost, risk, scalability, and Enterprise standards.
2. Agentic AI Capability Mapping - 40%
   • Map business requirements to the right AI approach (e.g., platform-native AI, internal agent, assistant, analytics/ML, document intelligence, retrieval-based knowledge).
   • Apply agentic AI principles: agents that plan, use tools, take actions, and execute multi-step workflows (vs. single-turn chat).
   • Recommend fit-for-purpose agentic design patterns (e.g., plan-and-execute, tool-use, reflection, human-in-the-loop checkpoints) to match process risk and automation goals.
   • Incorporate human-in-the-loop controls and escalation paths for high-stakes decisions and exception handling.
3. Delivery Leadership, Governance, and Adoption Enablement - 20%
   • Manage day-to-day execution oversight (ie. backlog planning; change & comms.); Ensure milestones/goals are met, and actively manage capacity, staffing needs, and delivery health.
   • Partner with process leaders, change, and comms. stakeholders to drive adoption and sustained value.
   • Actively manage agent run costs and value delivery, ensuring agent value is continuously optimized.

Required Qualifications

Education

• Bachelor's degree in Engineering, Data Science, Computer Science, Information Systems, or related field (or equivalent experience).

Experience

• 10+ years in a blend of business analysis, process engineering, product/solution design, intelligent automation, and / or AI solution delivery.
• 1-3+ years of people leadership and / or leading delivery pods as a first-line manager.
• Experience designing and implementing: Retrieval-augmented generation (RAG) and enterprise knowledge integration [Agent orchestration/workflow layers Output validation / guardrails, monitoring, and evaluation frameworks
• Demonstrated experience translating business needs into solution intent, and delivery-ready requirements (including managing risks/assumptions/constraints).
• Exposure to Procurement processes sufficient to connect opportunities to capabilities.

Core Skills

• AI fluency: Ability to select patterns for LLM/agentic workflows (tool use, memory / context, planning / reflection loops), and to define controls such as human review checkpoints.
• Data Science fluency: Understanding of foundational Data Science capabilities, and ability to apply that understanding to: o Conduct Data Science-based data analyses to support opportunity identification and business case development o Connect requirements to algorithmic data science, ML-based, GenAI-based, and Agentic-based capabilities for solution development
• Requirements documentation, story writing / acceptance cr