Job description


  • Entry level
  • No Education
  • Salary to negotiate


Johnson & Johnson is recruiting for a Director, Data Sciences & Analytics to join our Johnson & Johnson Enterprise Data Analytics team and help us bring innovation to life.

Caring for the world, one person at a time has inspired and united the people of Johnson & Johnson for over 125 years. We embrace research and science -- bringing innovative ideas, products and services to advance the health and well-being of people. Employees of the Johnson & Johnson Family of Companies work with partners in health care to touch the lives of over a billion people every day, throughout the world.

With $76.5 billion in 2017 sales, Johnson & Johnson is the world's most comprehensive and broadly based manufacturer of health care products, as well as a provider of related services, for the consumer, pharmaceutical, and medical devices and diagnostics markets. There are more than 265 Johnson & Johnson operating companies employing approximately 126,500 people and with products touching the lives of over a billion people every day, throughout the world. If you have the talent and desire to touch the world, Johnson & Johnson has the career opportunities to help make it happen.

Thriving on a diverse company culture, celebrating the uniqueness of our employees and committed to inclusion, J&J is proud to be an equal opportunity employer.

We are one of only two industrial companies to hold a AAA Credit Rating. With our forward-thinking business practices, commitment to diversity and inclusion, smart management and social responsibility—as noted by our tenure in Fortune World’s Most Admired company list for the 16th year in a row, and appearing in the top 20—we are well positioned to transform Technology & Analytics to help innovate faster and compete more effectively, making science and technology equal partners in building the future of Johnson & Johnson.

The Director, Data Sciences & Analytics is an important, integral part of the transformation within J&J Enterprise Data Analytics team. The position is responsible for personally analyzing and/or leading a team of internal and external Data Science and Data Engineering resources to analyze commercial outcomes and improve them by optimizing marketing and sales levers of demand generation, (including pricing analytics, market mix modeling, trade promotions, revenue growth management, customer experience improvement, business development and other initiatives.).

You will be responsible for personally developing and/or leading team members to develop analytical prototypes and scalable analytical “solutions” in the medical device and / or consumer healthcare space – and will be a part of a dynamic and growing team. This role will bring a broad knowledge of existing data science algorithms and analytic creativity to invent and customize them when necessary, to help drive business results. You will drive business impact by personally solving and/or helping team members solve unique problems through keen and creative mathematical analysis, continuous improvement methodologies and change management in a cross functional organization.

Key Responsibilities:
Articulate analytics proposition to business partners and collaborate to identify use case opportunities.
Support analytics design decisions by taking relevant inputs from business team and defining clear plan for analytics team; push analytics teams to confirm assumptions, extract relevant insights and to interpret the models and outputs.
Partner end-to-end with business teams during use case delivery
Identify and prioritize problems.
Collect inputs from critical business partners.
Share insights and observations throughout the process.
Communicate end results of use cases within the business.
Set up appropriate tools to measure and capture business value of results.
Lead communication of analytics use case outputs with executives, acting as a bridge between management and analytics specialists. Guide analytics team to develop right visualizations for presenting results.
Once data science use cases and POCs are delivered and confirmed, partner with technology team to industrialize analytics solutions and the data strategies required to deliver them as a business process (vs. a one-time use case) on an ongoing basis.

Master’s in STEM or related discipline, e.g. statistics, operations research, computer science, mathematics and 7 years of relevant work experience in data engineering or related

About the company

If you’re thinking about taking your career to a place where you can be seen for the talent you bring to your work, where you’ll have a chance to be the driver of your own career, and where others share your passion for caring and success, then we invite you to explore Johnson & Johnson. BE VITAL in your career and make a unique mark. Join the approximately 129,000 men and women who work within our companies and touch the lives of more than a billion people around the world every day.

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