Data Strategy Consultant
hace 2 semanas
ZS is a global consulting firm that helps companies develop and deliver products that drive customer value and company results. Our most valuable asset is our people, and we're passionate about helping companies and their customers thrive in industries ranging from life sciences to high-tech, financial services, travel, and transportation, and beyond.
Data Strategy and PartnershipsZS's Data Strategy and Partnerships has two pillars: advising clients on all matters related to Data Strategy and building relationships and partnerships with data providers to enable ZS access and use of data in innovative offerings and services.
Responsibilities- Build and maintain a comprehensive level understanding and expertise on global healthcare data.
- Collaborate with ZS' internal and client-facing teams to define approaches to address our clients' needs.
- Assist in defining capabilities, building frameworks, processes, and tools to support data strategy.
- Partner with project leads in delivering projects and assist in project management responsibility such as project plans, people management, staffing, and risk mitigation.
- Execute projects tasks across different types of engagements, from strategy to implementation.
- Collaborate with other team members across the globe and ensure seamless communication and sharing/undertaking tasks.
- Manage direct/indirect client communications as per the assigned responsibility in the project.
- Manage and collaborate with an extended team of diverse skill sets (knowledge management, technologists, business operations, etc.).
- Mentor/coach junior members in the team, as needed.
- Help build long-term Data Strategy assets and offerings.
- Bachelor's or master's degree required, with strong academic performance in analytic and quantitative coursework (Math, Engineering, Physics, Statistics, Data Science, Biotechnology).
- 2-5 years of relevant job experience; prior experience working with consultancy firms, life science companies, or healthcare data providers preferred.
- Knowledge of healthcare data and experience of its practical applications (e.g., patient-level EMR, claims, omics, data, and experience with RWD/RWE projects or omics data) would be a plus.
- Ability to translate unstructured problems into actionable processes and approaches.
- Can think strategically, support definition and management of data standards and protocols.
- Self-starter, with high motivation, maturity, and personal initiative.
- Strong oral and written communication skills.
- 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.
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