Associate Director, Data Analysis

Responsibilities

• Lead team to manage life cycle of digital data product, including use case identification, discovery all the way to development and maintenance.
• Translate use cases into implementation roadmaps to deliver high quality data products.
• Establish common performance expectations and processes for data product owners, data analysts and scrum masters.
• Leverage data domain knowledge to shape the vision, strategy, and roadmap of domain level analytics ready datasets.
• Ensure implementation of Agile principles and best practices to continuously adapt to evolving business needs and user feedback.
• Develop and maintain relationships with key vendor partners to shape the overall staffing strategy and continuously ensure high quality deliverables and optimized return on investment for the respective domain programs.
• Demonstrate and role model key leadership behaviors, including: cross-functional and inclusive leadership, assertiveness and swift decision‑making, active listening and strategic thinking.
• Native AI/Gen AI mindset that continuously looks at the way a data product is being built and optimizes the process utilizing the full extent of the technology stack and advancements that are available and ensures the data products being built are Gen AI ready from the outset.

• B.S. or M.S. in Engineering or related field (Business, Computer Science, Engineering, Data Science, etc.)
• Digital and Marketing data domain knowledge in commercial space in biopharma industry is a must to have.
• Minimum 8+ years of relevant work experience, with demonstrated expertise in data and analytics solutions including a solid technical understanding of tools and architecture.
• Strong experience in building data products and capabilities using agile approach.
• Excellent interpersonal and communication skills, with the ability to quickly establish credibility and trust with a variety of stakeholders.
• Dynamic problem solving skills in diverse and global matrix organization (across Time zones)
• Experience managing portfolios of initiatives, tracking performance and managing risks, issues and escalations.
• Knowledge of data analysis and data & analytics use cases and capabilities.
• Experience with Agile delivery frameworks and strong knowledge of scrum execution.
• Strong organizational skills, with proven ability to navigate complex teams and highly-matrixed environments.

• B.S. in Engineering
• M.S. in Engineering
• B.S. in Computer Science
• M.S. in Computer Science
• B.S. in Data Science
• M.S. in Data Science