Associate Director, ERC Data Analytics and Insights

Major Accountabilities:

• Collaborate with process owners and ERC analytical product users to understand their complex and critical compliance priorities, enabling them through data and actionable insights.
• Work with team members such as data engineers, data scientists, business analysts, UX designers, and developers to create actionable insights published on insights products like Control Room and Control Tower for various ERC personas.
• Conceptualize, design, and develop data science projects and proof of concepts on prioritized ERC use cases.
• Drive data-driven innovation and support operational excellence through simplification and automation initiatives.
• Promote a data-driven decision-making culture through coaching, mentoring, and introducing industry best practices and external perspectives.

Essential Requirements:

• Masters or bachelors degree in Data Analytics, Data Science, Business, or Engineering is required; an MBA from a reputed institute is preferred.
• 15+ years of experience in Data Analytics or related fields, with specific experience in producing insights for senior management and building statistical models to address business issues.
• Experience in Risk or Compliance Analytics in the Pharma or Life Sciences industry is preferred.
• Demonstrated experience in designing and delivering insights using AWS, Snowflake, Databricks, and Python libraries for industrialized analytics solutions leveraging statistical models, AI/ML, including GenAI. Proven experience with web analytics tools such as Google Analytics on user insights to identify improvement opportunities.
• Ability to work with a multi-functional and multi-national team in a matrix environment.
• Identify trends, patterns, and anomalies leveraging data to inform strategic decisions and optimize user experience.
• Strong analytical skills with the ability to interpret complex data and generate actionable insights. Proficiency in data visualization tools (eg, Power BI, Web-mashup).
• Excellent communication skills with the ability to present data insights to non-technical stakeholders.