Manager Data Science

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: Data Science Job Category: People Leader All Job Posting Locations: Pune, Maharashtra, India Job Description: Position Summary 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. As a Manager, Data Science (M1) in the Global Finance Data Science Team, you will serve as the technical and business-domain subject matter expert accountable for the end-to-end execution of data science products and AI-enabled applications across Global Finance and Compliance. The role will primarily lead vendor application-development teams, ensuring solutions are delivered efficiently, on time, and to a high standard of quality. This role combines data science and Finance process expertise with application delivery leadership. You will translate business problems into clear requirements and executable solution designs, then guide vendor teams in developing production-ready models, applications, APIs, workflows, and integrations that connect with transactional systems, including SAP S/4. You will ensure the latest fit-for-purpose technologies are applied responsibly to improve speed, automation, controls, user experience, and decision quality. You will work directly with Finance, Compliance, and Technology stakeholders to understand processes, pain points, controls, and user needs, and convert them into applications and solutions that solve the business problem. You will own execution from requirements and design through development, testing, deployment, adoption, and ongoing production support, coordinating vendor teams and enterprise partners throughout delivery. Major Duties & Responsibilities Lead and manage large vendor application-development teams, establishing clear requirements, work plans, milestones, quality expectations, and accountability for business outcomes. Serve as the data science and application-delivery SME, working with stakeholders to define business problems, document functional and technical requirements, clarify acceptance criteria, and shape fit-for-purpose solution designs. Own end-to-end execution of data science products and applications, from stakeholder discovery, requirements definition, and solution design through vendor development, testing, validation, deployment, adoption, and production support. Design and implement financial process and workflow applications that combine data, business rules, predictive models, Generative AI, approvals, evidence capture, and user-facing experiences to simplify and automate complex Finance processes. Design and implement risk management applications in the Compliance space, including solutions that support business operations, compliance oversight, and audit stakeholders across the three lines of defense. Architect and deliver integrations with enterprise transactional and financial systems, including SAP S/4, using governed data pipelines, APIs, events, services, and workflow orchestration. Lead the development of real-time and near-real-time scoring services, transaction monitoring capabilities, alerting, case prioritization, and human-in-the-loop review workflows for financial and compliance use cases. Lead the design and delivery of label-harvesting and human-in-the-loop forecasting applications, such as Gross-to-Net solutions, where data science models generate predictions and business users can review, approve, override, or refine forecasts with structured reason codes and commentary. Ensure user decisions are captured as governed feedback for auditability, model monitoring, retraining, and continuous improvement of future predictions. Guide the application of machine learning, statistical methods, time series forecasting, NLP, Generative AI, and agent-enabled workflows, ensuring outputs are accurate, explainable, traceable, and suited to the business decision. Establish engineering and MLOps standards for reusable code, model and prompt lifecycle management, automated testing, CI/CD, monitoring, observability, documentation, release governance, incident response, and ongoing model performance management. Ensure products meet enterprise requirements for security, privacy, compliance, scalability, resilience, maintainability, data quality, access control, and audit readiness. Embed controls, approval workflows, lineage, evidence capture, decision logs, explainability, and complete audit trails into product and application design. Partner with product owners and senior business and technology stakeholders to define outcomes, requirements, success measures, delivery tradeoffs, adoption plans, and operating models. Direct vendor execution across scope, estimates, staffing, milestones, dependencies, risks, defects, releases, documentation, knowledge transfer, and production readiness; proactively remove blockers and hold partners accountable for efficient, timely, and high-quality delivery. Evaluate and apply current data science, Generative AI, cloud, integration, workflow, and application-development technologies and patterns to accelerate delivery, improve solution quality, and create reusable capabilities within enterprise standards. Qualifications: Minimum of 7 years of relevant experience in data science, machine learning, AI, analytics engineering, software engineering, or enterprise application delivery, including demonstrated ownership of complex initiatives delivered through vendor or partner teams. Bachelor’s degree required in Computer Science, Engineering, Data Science, Statistics, Mathematics, Business Analytics, Finance, or another quantitative discipline; Master’s degree preferred. Demonstrated experience leading vendor or outsourced application-development teams, with strong delivery governance, prioritization, issue resolution, quality management, and accountability for scope, schedule, and outcomes. Strong hands-on foundation in machine learning, statistics, Python or R, SQL, data engineering concepts, software development, and production-grade analytical application design. Proven experience building and operating applications that operationalize analytics, machine learning, or AI through web applications, APIs, backend services, workflow tools, or decision platforms. Experience designing and implementing financial process and workflow applications, including business rules, approvals, exception management, evidence capture, and role-bas