Lead Decision Scientist - Product Analytics

CVS Health•New York, NY

4d•$142,140 - $284,280

About The Position

The Product Analytics team at Aetna, a CVS Health company, engages with a number of functional teams across CVS businesses to serve our members with better insurance products and to support our Sales teams in selling the right product to the right customer. Lead Decision Scientists play an instrumental role in building cross-functional coalitions, defining product roadmaps that drive forward the most impact and engage with our Data Science team to deliver the appropriate business solutions. Lead Decision Scientists structure ambiguous business problems into analytics frameworks, translate data insights into recommendations for business decisions, guide the evaluation of the business impact for those decisions and prioritize possible actions based on value, feasibility and risk. To be successful in the role, Lead Decision Scientists need to excel in stakeholder management, consult with multiple business functions, recommend data-driven decisions to grow the business impact and ultimately deliver the solutions built by our Data Science team into the hands of our stakeholders.

Requirements

4+ years of business experience leading mid-scale initiatives with track record of business impact
7+ years total business experience
2+ years of stakeholder management experience
4+ years of experience with strategy consulting or on strategy teams in large companies
Ability to work with data using SQL and Python
Experience reviewing analytical methods and outputs

Nice To Haves

3+ years in a consulting firm using data to solve for client engagement
Experience in collecting user requirements and translating them into functional requirements for a data analytics solution
Experience in leading projects with Agile methodologies
Healthcare sector experience

Responsibilities

Act as the product owner for multiple analytics initiatives.
Communicate technical concepts and implications to business partners, and business drivers to data-science partners.
Be a business specialist with deep content specific knowledge.
Translate business questions into analytics frameworks using the language of Data Scientists.
Present business recommendations in executive-ready stories with concise recommendations and influence senior leaders.
Identify delivery risks and apply a solid project management framework.
Anticipate and prevent problems and roadblocks autonomously before they occur.
Demonstrate a high level of ownership for business problems, roadmap prioritization, stakeholder alignment, and impact measurement.