Executive Director of Data Architecture and Strategy

Information Technology Bothell, Washington US Field Based



The Head of Data Architecture and Strategy is responsible for establishing an enterprise data strategy that supports Seattle Genetics at a time when significant growth and expansion is taking place, organizationally and strategically.  This position will partner closely with Sr leadership across a range of disciplines to establish and lead the digital transformation of data and drive the science and analytics that delivers actionable insights across all Seagen.  The role will manage and lead the planning, evaluating, and selecting the right data science capabilities for the enterprise and helping distributed analytics staff to have the best data & analytics skills, processes, and technologies possible.  Serves as an advisor to the executive leadership team to develop and deliver enterprise-wide solutions for complex data challenges, including developing and applying algorithmic models to derive insights, improve decision making, and automate processes.  In addition to strategic and technical leadership, this position will recruit, direct and mentor strong senior leadership and technical talent for the Data & Analytics team. This position will spearhead the efforts to leverage the full value of Seattle Genetics data, scale with efficiency and speed, and solve challenges in drug discovery, development, and delivery to patients.   Partnering closely with leadership, this role will define, and implement plans to advance data science disciplines and best practices in close collaboration with other data science leads across the organization.  This position will champion data governance in alignment with data programs and business strategies and goals.   As an IT leader, this person will also focus on our mission to advance IT maturity, enabling data-driven decisions and automation opportunities that lead to excellence.

Principal Responsibilities:

  • Determine the optimal data design, science and delivery strategies to support WW growth and expansion efforts across the business driving innovation, setting standards, and executing delivery of high impact initiatives
  • Define and plan the implementation of new processes and technology and provide guidance to IT professionals and other staff within the organization
  • Determine global strategy for People, process, product and technology and date in line with business and customer needs
  • Establish and execute on an enterprise data strategy in support of organizational objectives, developing short- and long-term roadmaps to achieve success
  • Partner with executives to establish the vision for managing data as a business asset, and to leverage data using research and analytics to maximize the return on data assets
  • Collaborate with leadership to understand business needs and opportunities
  • Provide a high level of engagement, collaboration and communication with staff
  • Lead assessments to identify data assets, evaluate current technology stack and capabilities.  Establish a roadmap for advancing these areas in order to successfully execute on data strategy
  • Propose plans to evaluate, select, and implement scalable and sustainable systems and solutions in partnership with functional area SMEs in support of data infrastructure, data engineering, data governance, data analytics and data science; ensuring data are aggregated, cleaned, consistently formatted and readily available
  • Develop an enterprise plan and establish a Data Science platform and capabilities, including ML/AI, supporting organizational teams. Scope, define, and implement plans to advance data science disciplines and best practices, to design, implement, run and interpret experiments, create dashboards, draw inferences, and generate recommendations from modeling and measurement
  • Identify skillset gaps and recruit talent with high potential for growth. Train and develop talent to support the vision and mission. Manage and grow employees in capability and capacity
  • Advance IT maturity, enabling data-driven decisions and automation opportunities that lead to reduced timelines and resources while increasing overall capabilities
  • Implement quick, short-term wins for users while building infrastructure towards the long-term vision
  • Act as a change agent internal to IT while influencing change outside IT. Educate and advocate to instill in staff the philosophy that data science is not just a technical discipline but is a capability to be integrated into the ways we conduct business throughout the organization
  • Develop key performance metrics and oversight to measure and review progress against objectives
  • Build a reputation as a high-integrity, outcome driven Data & Analytics department with the ability to leverage data to solve challenges in oncology drug discovery and development.
  • Champion data governance programs and initiatives, ensuring appropriate sponsorship and oversight of policy and compliance
  • Advocate for and champion a data-driven culture, supporting related competencies and data literacy across the enterprise


  • At least 15 years of experience in a related field and prefer at least 12 years industry experience in data architecture and technology or biopharmaceutical sector with leadership roles in a matrixed environment
  • Experience with enterprise-level data analysis, automation, and providing data-focused system integration solutions
  • Thorough understanding of current state and future trends in data architecture, connectivity, data integration, cloud computing, data analytics and data science
  • An effective communicator able to bridge between business teams and IT
  • Demonstrated success in advocacy for and implementation of complex, enterprise-wide projects
  • Demonstrated skillset for problem solving and a history of successful collaborations
  • Must be creative and have demonstrated ability to think beyond what is presently possible
  • Strategic Planning: Ability to package and syndicate a message, garner business support, drive and document vision / strategy, plan & organize, providing progress on multiple projects
  • Influence Skills: ability to factually resolve conflicts and differences of opinion in a respectful yet assertive way
  • Compliance knowledge: understanding of requirements for bio/pharma regulations (CFR, GxP, ICH, GDPR CCPA)
  • Outcome oriented: Balance creativity and innovation against practical / cost effective approaches


  • Masters degree or an equivalent is a must and PhD is preferred

As the leading employer in our industry in the Pacific Northwest, Seattle Genetics is proud to offer a competitive total compensation package as well as a comprehensive benefits program designed to support the whole lives of our employees and their families. Benefits include medical, vision and dental coverage, group and supplemental life insurance, 401(k) with company match, tuition reimbursement, relocation assistance and much more. To learn more about Seattle Genetics, please visit www.seattlegenetics.com.

Seattle Genetics is an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race, age, gender identity, sexual orientation, color, religion, sex, marital status, national origin, protected veteran status, disability status, or any other status protected by federal, state, or local law.