Data Products and Solution Strategy Expert

Purpose and Scope:

Astellas is seeking a strategic, results-driven data solutions expert to drive the enterprise adoption of modern data principles - including data mesh, domain-driven architecture, and data products-on the Databricks cloud platform. This role ensures alignment of data initiatives with business priorities, fosters cross-functional collaboration, and delivers measurable business value through advanced data capabilities.

The Data Products & Solution Strategy (DPSS) Expert is a global, cross-functional role responsible for the adoption, business-technical leadership, operational management, and continuous evolution of Astellas' Internal Data Marketplace hosted on Databricks, with a primary focus on data products, advanced analytics, and AI-enabled solutions supporting the VALUE Delivery (Commercial and Medical Affairs) organization.

This role sits at the intersection of advanced data technologies and business value realization. The DPSS Expert is accountable for ensuring that data products and analytical solutions are technically robust, scalable, discoverable, business-ready and trusted, while partnering closely with Commercial and Medical stakeholders, Digital Excellence (IT), and other VALUE verticals (e.g. Finance, Legal, Procurement, R&D, etc.) to translate strategic priorities into high-impact data capabilities.

The DPSS Expert combines technical acumen with strong cross functional business partnership serving as a bridge between enterprise data strategy and business execution. This is crucial to ensure the Data Marketplace and Data Products/Solutions' strong adoption, prioritization, measurable and consistent value delivery.

Responsibilities and Accountabilities:

VALUE Delivery Enablement and Chapter Strategy

• Function as a key change agent for the Data Products & Solution Strategy Chapter within the Data Strategy Practice, translating chapter priorities into actionable initiatives.
• Partner closely with the Chapter Lead, Data Products & Solution Strategy to Execute the chapter roadmap, scope, and operating model.
• Represent the chapter in cross functional forums and initiatives as delegated.
• Help oversee a portfolio of Commercial and Medical Affairs data products and analytical solutions. Ensure these are aligned to business workflows and deliver measurable impact.
• Support change management efforts to embed data-as-a-product thinking and advanced analytics adoption across VALUE Delivery and also in other VALUE verticals (VALUE Creation, VALUE Enablement).

Data Products, Data Marketplace, Platforms & Advanced Analytics

• Contribute to the development and refinement of standards, methodologies, and best practices related to data products, analytics, and AI enabled solutions.
• Participate in the design, delivery, and lifecycle management of data products and analytical solutions aligned to Commercial and Medical Affairs needs.
• Provide solid engagement and influence across:

o Databricks Lakehouse, including Delta, Unity Catalog, Databricks SQL, Workflows, and Databricks One

o Modern data lake and Lakehouse architecture

o Advanced analytics, feature engineering, and semantic modeling

o AI/ML and Generative AI-enabled analytics and applications

• Ensure solutions are production ready, scalable, secure, and performant, while remaining discoverable and reusable through the Internal Data Marketplace.
• Partner with Digital Excellence and platforms/data product engineering teams to align on:

o Architecture standards and patterns

o Platform tooling and integration approaches

o Reusable components and accelerators

• Drive adoption of the Data Marketplace through enablement, demos, working sessions, and feedback loops with end users.
• Guide teams to always incorporate business objectives especially through complex technical discussions and decisions -- balancing speed, innovation, maintainability, and compliance.