Data Strategy Manager

Responsibilities

• Partner with ZS leaders and client service teams to sell and deliver Data Strategy projects for Life Science clients, including project scoping, approach definition, project management and execution, communication, people management;
• Serve as a primary day-to-day project lead, manage multiple workstreams ensuring fulfillment of project objective on-time and on-budget;
• Serve as Subject Matter Expert to support teams in client project proposals, client discussions, thought leadership, etc.
• Build long term, trusted relationships with clients & internal stakeholders to develop a significant book of business;
• Stay current on latest data and domain trends; develop POVs, offerings, frameworks, tools, whitepapers, etc. on data strategy innovations to build firm intellectual capital and thought leadership;
• Prioritize people growth and management;
• Mentor/coach junior members on the team, manage and collaborate with an extended global team of diverse skill sets.

Qualifications

• Bachelor's or master's degree required, with strong academic performance in analytic and quantitative coursework;
• 10+ years of relevant job experience;
• Prior experience in Data Strategy and Life Science, working with consultancy firms, life science companies, or healthcare data providers;
• Knowledge of healthcare data and experience of its practical applications (e.g. patient-level EHR, claims, omics, data and experience with RWD/RWE projects or omics data) preferred;
• Ability to translate unstructured problems into actionable processes and approaches;
• Self-starter, with high motivation, maturity and personal initiative;
• Executive-level oral and written communication skills;
• Ability to develop productive relationships with senior stakeholders;
• Empathy, adaptability, and high personal impact;
• Self-discipline for planning and organizing tasks, and delivering in an unstructured environment;
• Ability to multi-task and manage competing priorities.