Director, Commercial Data Management

Overview

The Director, Commercial Data Management is responsible for evolving, updating, shaping and executing the Commercial Data Management strategy and capabilities to support existing and future state Shionogi branded products.

This role will have the opportunity to develop, evolve, and build the tools, systems, capabilities, management and overall infrastructure of Shionogi’s Commercial data environment. This role will also have key responsibilities in owning the data strategy, data governance, and all data relationships with the vendors.  This role will work in close collaboration with Business Insights and Analytics to develop a strong data foundation and requirements to enable bespoke analytics and standardized reporting; this role will also interface closely with Field and Marketing Operations to align data operations and business requirements to support the CRM and field force technology vertical.

This highly visible and foundational position will work closely with internal and external stakeholders to support the implementation of data infrastructure for the Commercial Organization and guarantee adequate access to and visibility of internal and external vendor data required to support the business.

Responsibilities

Directly lead the development and execution of Shionogi’s commercial data management strategy and infrastructure in support of key cross-functional launch activities.  This includes (but is not limited to):

• Commercial Data Environment and Infrastructure:
  • Development, maintenance and evolution of data warehouse with related systems and processes, including daily operations with data warehouse and system partners
  • Lead project engagements including identification of vendor partners, development of project scope and coordination across strategic vendors and relevant business team members
  • Identification of business requirements for data warehouse architecture and reporting build
  • Proactive identification and management of necessary infrastructure upgrades including servers, warehouse, reporting platforms, and other systems (in partnership with IT)
• Data strategy and management:
  • Lead the acquisition, building, integration, stewardship, and governance of all commercial datasets to enable commercial insights and reporting (both strategic and tactical execution)
    • Includes management and oversight of the existing inflow / outflow and organization of commercial data (e.g. Promotional activity, Speaker Bureau, Claims, retail and non-retail, EDI 852, 867, etc.)
    • Future management of novel data sets, including unstructured and non-commercial data sets to support the upcoming launches and business ventures
    • Manages the master data for existing business and oversees related data stewardship and change management processes as needed
  • Manage and own data vendor relationships including daily operations and data intake process, leading status update calls, contract updates, and regular business reviews as needed
  • Develop and support data integration and validation processes (e.g., systems, personnel, processes) for end-to-end data management from ingestion to provisioning
  • Manage data stewardship and operations functions and teams, including partnership with IT and external vendors to ensure data quality and integrity maintained; resolve data-related issues and disruptions with appropriate updates to the business
  • Proactive identification of important and novel data vendors, datasets, and resources

Support the business with the onboarding of new data, defining data quality checks, with metadata management and data inventory build; including management of vendors to document all business rules and management for data lineage and maintenance

Act as main contact, lead and subject matter expert and lead for commercial data-related topics (internal, external and 3rd party); Inform and guide internal stakeholders regarding data availability, caveats and limitations

Lead the creation and management of Shionogi’s Data Governance process; this includes:

• Ensuring all aspects of data visibility and sharing are compliant (in partnership with Compliance, Legal, IT, and Finance)
• Creation of a Data Governance Committee to promote data visibility, reduction of data duplication and economies of scale re: data acquisition
• Create and maintain Standard Operating Procedures (SOP's), monitor and execute necessary data quality control checks for accurate and timely processing of data warehouse updates
• Maintenance of an updated inventory of data assets and promote transparency, sharing, and utilization of data across the commercial organization

As part of the data environment evolution, build and maintain Analytics Ready Data Sets for commercial