Director Data Science

Johnson & Johnson Services, Inc. is recruiting for a Director, MedTech Supply Chain DBT Data Science Leader. This position can be based in any J&J MedTech office in NA or EMEA.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 https://www.jnj.com/. For more than 130 years, diversity, equity & inclusion (DEI) has been a part of our cultural fabric at Johnson & Johnson and woven into how we do business every day. Rooted in Our Credo, the values of DEI fuel our pursuit to create a healthier, more equitable world. Our diverse workforce and culture of belonging accelerate innovation to solve the world’s most pressing healthcare challenges.We know that the success of our business – and our ability to deliver meaningful solutions – depends on how well we understand and meet the diverse needs of the communities we serve. Which is why we foster a culture of inclusion and belonging where all perspectives, abilities and experiences are valued and our people can reach their potential.At Johnson & Johnson, we all belong.Job Description:The Director of Data Science will lead the Data Science team and play a key role in our journey of applying innovative data science solutions to drive business improvement and competitive advantage.At the core of our business strategy is the value of reliable, real-time data - “ the great equalizer” - and insights that come out of the data using Data Science. Our ability to leverage cognitive, diagnostic, predictive and prescriptive analytics to drive speed and agility in our supply chain will give us a competitive edge. Accelerated adoption of cutting-edge Artificial Intelligence/Machine Learning/Operations Research (AI/ML/OR) models embedded in the operational workflow is required to achieve our goals.As a Data Science Director, you will be responsible for defining and driving our AI/ML/OR strategy and roadmaps. You will work with global MedTech supply chain business partners, in-house data scientists, data engineers, product management and J&J Technology teams to identify new project opportunities and product features, identify best-fit AI/ML/OR models, prioritize key models and capabilities, lead the buildout of minimum viable products (MVPs) and scale those MVPs to full stack solutions and work with business partners to fully deploy those solutions for maximal value generation. You will be managing a world-class data science team with highly motivated, experienced and talented team members and will play a key role in continuously growing the team’s technical capabilities and strengths. You will also be an innovation leader who will continuously ideate novel concepts to digitally transform the supply chain into an intelligent, efficient, agile and resilient supply chain. You will be co-managing the data science innovation “funnel” in collaboration with product management and business stakeholders to prioritize the most value-added capabilities. Overall, you will be responsible for envisioning and synthesizing a data science portfolio that delivers sustained short- and long-term value to our MedTech Supply Chain.Major Responsibilities:• Define and own data science product vision, strategy and capability roadmaps to address unmet business needs, aligned with MedTech Supply Chain strategic objectives.• Partner with diverse groups of MedTech supply chain business leaders across different functions (e.g., manufacturing, quality, procurement, planning, logistics, customer experience) and data science product management teams to jointly prioritize business opportunities and to deploy data science products.• Support data science teams in the identification and prioritization of best-in-class and fit-for-purpose AI/ML/OR models for different business use cases.• Sustain and continuously improve data science model management workflows (e.g. translation of business requirement documents into functional model specifications, code reviews, model documentation, unit/system integration testing, user acceptance testing, SDLC compliance) to maximize AI/ML/OR model performance metrics.• Proactively collaborate with internal data science and external experts (from universities, peer group of companies and vendors) to synthesize novel AI/ML/OR models.• Manage highly talented team of data scientists by providing continuous coaching and guidance across diverse areas such as model selection/prioritization, model development, data science processes, business stakeholder communications, as well as personal and professional development.• Collaborate with data/software engineers and solution architects to ensure end-to-end performance of data science models and solutions with the timely delivery of products per requirements.• Manage priorities and trade-offs between customer experience, performance and operational support.• Communicate data science product strategy, roadmap, deployment status and results with senior management.• Lead research and experimentation of cutting-edge data science techniques for impactful applications in MedTech Supply Chain.• Present in leading industry and professional forums and establish a thriving network of connections with leading data science teams across MedTech and other industry sectors• Great Place to Work: Establish& maintain a globally inclusive, diverse, and equitable work environment for the MedTech Supply Chain DBT organization, and inspire, motivate, and empower talent to, as well. Recruit, develop, and empower talent in support of maintaining the MedTechSupply Chain DBT organization’s position as a career destination of choice. Support the professional growth of direct reports by proactively helping them to identify development opportunities. Mentor and develop indirect team members and ensure the success of all cross-disciplinary teams supporting projects