Responsibilities

• Lead strategic planning and execution of prioritized Data & Advanced Analytics solutions with business owners and product owners.
• Architect and develop enterprise-wide data and analytics frameworks, libraries, and reusable components.
• Design and implement secure, best-practice data integration strategies to enable seamless data flow across systems.
• Ensure data availability and accessibility by building stable, scalable, and modular data science pipelines from exploration to deployment.
• Oversee acquisition, ingestion, processing, and optimization of multi-source data into the cloud data platform (Azure).
• Partner with stakeholders to model data landscapes, obtain extracts, define secure data exchange methods, and promote a data-driven culture.
• Map data fields to hypotheses and curate/wrangle high-quality data inputs for advanced analytical models.
• Ensure compliance with Informatio...