Expert - Advance Analytics - Healthcare Analytics & Delivery, New Ventures


  • Bachelor's degree; Graduate degree preferred: MBA, MHA or in healthcare/medical related discipline (e.g., M.D., R.N.)
  • 8+ years of experience in a health care industry is preferred
  • Expert knowledge in Advance Analytics, Machine Learning, and Data Science
  • Understanding of the principles of change management and performance metrics and dialogs, particularly in health systems
  • Experience leading change transformations and/or operations projects
  • Able to provide leadership over and influence individuals and across multiple stakeholders from different levels, backgrounds by tailoring approach
  • Strong analytical skills, with the ability to translate analysis into recommendations

Who You'll Work With

You'll work with the Payments, Risk Revenue, Medical Cost and Pharmacy (PrimeX) domain within McKinsey Healthcare Analytics and Delivery (HA&D) in the Gurgaon office. This group is part of McKinsey's New Ventures.

McKinsey Healthcare Analytics & Delivery team provides specialized capabilities to support our clients within McKinsey's Health Systems and Services Practice. As a member of HA&D, you'll work closely with our client project teams, providing end to end support to ensure that clients are able to deliver and sustain the full benefits of McKinsey's recommended change to their business.

Our Healthcare Analytics group leverages a big-data analytics platform that includes 100 terabytes of integrated claim, encounter, clinical, consumer, and other data. The team consists of 100 dedicated experts and 250 affiliated professionals with industry, advanced analytics, statistics, clinical, and software expertise, all of whom work to design, deliver, and operate advanced analytic tools to help healthcare clients around the world.

McKinsey New Ventures fosters innovation driven by analytics, design thinking, mobile and social by developing new products/services and integrating them into our client work. It is helping to shift our model toward asset-based consulting and is a foundation for –and expands our investment in –our entrepreneurial culture. Through innovative software as a service solutions, strategic acquisitions, and a vibrant ecosystem of alliances, we are redefining what it means to work with McKinsey.

As one of the fastest-growing parts of our firm, New Ventures has more than 1,500 dedicated professionals (including more than 800 analysts and data scientists) and we're hiring more mathematicians, data scientists, designers, software engineers, product managers, client development managers and general managers.

What You'll Do

You will help clients build capabilities in delivery and execution within their payments and risk adjustment areas, both during an active project and continuing after our consultants have shared their recommendations.

You will work directly with client leaders and front-line operators to drive change that is critical to successful realization of goals. As such, you will provide oversight, problem-solving support and practical industry expertise, frequently involving facilitating on-site workshops, individual and group coaching, and change management sessions.

From the start of a project, you will be on the ground ensuring that engagement success is a priority. We engage at a deep level across our clients' businesses, working in small teams to build the capabilities, systems, and processes needed to deliver bottom-line results and then ensure those results are sustained. Our work is about problem solving, coaching, and delivering lasting outcomes.

See Inside the Office of McKinsey

McKinsey helps clients facing a whole range of business questions to identify, understand, and analyze their options and make good strategic decisions. Whether it’s a tech giant contemplating a large investment, a pharma company expanding overseas, or a nonprofit looking to increase donations, the McKinsey team knows the ins and outs of the industries it serves and helps its clients tackle tough challenges and make big decisions.

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