Business Lead, Digital Product Management

Johnson & Johnson Co.; Bengaluru; On-site; INR 1,800,000 - 3,400,000; Full time

Job summary

Johnson & Johnson seeks a Digital Product Management Business Lead to bridge business needs with digital solutions, leading a team of professionals across analytics, data science and AI products. You will translate business needs into actionable requirements and guide discovery through implementation.

You will collaborate with product managers and engineers to set priorities, develop roadmaps, and drive adoption of digital solutions that deliver measurable business value across functions.

Qualifications

• Experience leading data analytics and product management teams
• Ability to translate business needs into digital solutions
• Strong stakeholder management and communication skills
• Familiarity with AI-enabled analytics and data platforms

Responsibilities

• Partner with stakeholders to capture priorities, processes, risks and desired outcomes
• Mentor analysts in discovery sessions, interviews, and requirement gathering
• Oversee requirements, epics, user stories, and acceptance criteria aligned to product strategy
• Guide cross-functional delivery teams across engineering, data, UX, and quality

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

Role Summary

The Digital Product Management Business Lead is an experienced role bridging business needs and digital solutions while leading and developing a team of professionals.

The Digital Product Management Business Lead translates business needs into clear, actionable requirements that enable successful delivery and adoption of digital, analytics, automation, data science, and AI products. The role works across business, product, design, data, engineering, quality, and technology partners to identify business needs, define requirements and future-state capabilities, shape product priorities, and guide digital solutions from discovery through implementation and continuous improvement.

This role collaborates closely with Product Managers, and is responsible for leading and developing a team, setting priorities, managing performance, and strengthening business analysis and product management capabilities

Business Analysis & Problem Definition

• - Partner with business stakeholders, product teams and business analysts to ensure strategic priorities, business processes, pain points, opportunities, risks, and desired outcomes are effectively understood and documented.
• - Guide and mentor business analysts in planning and facilitating discovery sessions through stakeholder interviews, workshops, process analysis, data analysis and user research.
• - Provide oversight and direction on process and systems assessments, business requirements documentation, epics, user stories, process flows, and acceptance criteria ensuring solutions align with business objectives and product management best practices.
• - Review and coach analysts on developing structured recommendations and business cases that support informed decision-making and investment prioritization.

Digital Product Management

• - Lead and develop business analysts, providing guidance on product management practices, prioritization, and execution.
• - Support adherence to product management frameworks, governance processes, and ways of working to ensure consistency across products and teams.
• - Oversee product vision, roadmaps, backlogs and establish clear priorities for delivery teams.
• - Partner with engineering, architecture, data, UX/design, and other teams throughout the product development lifecycle.
• - Identify opportunities to leverage digital technologies, data, automation, analytics, and AI to improve business outcomes, assessing whether AI is the appropriate solution based on value, user need, data readiness, feasibility, risk, and required oversight.

Product Performance & Business Value

• - Review and coach analysts on defining measurable product outcomes, KPIs, adoption metrics, and value measures, including relevant measures for AI-enabled capabilities such as reliability, output quality, user trust, exception rates, and productivity improvement.
• - Monitor product performance and identify opportunities for optimization and enhancement, using AI-assisted analysis to detect patterns, adoption barriers, emerging risks, and improvement opportunities.
• - Track expected and realized value from digital investments, using AI to synthesize performance, financials, adoption, and user data.
• - Recommend whether products or capabilities should be enhanced, scaled, consolidated, or retired based on value, performance, adoption, risks, and strategic fit.

Stakeholder & Cross-functional Leadership

• - Serve as a key connection point between SCE Product Managers and Business Analyst using AI-assisted synthesis to improve shared understanding of needs, decisions, requirements, and delivery implications.
• - Build alignment across stakeholders with differing priorities and perspectives, using AI to organize inputs, compare options, clarify areas of agreement, conflict, and unresolved risks.
• - Facilitate decisions on requirements, priorities, scope, trade-offs, and delivery, using AI-supported analysis to present options and implications while ensuring accountable stakeholde