Director of Operations, Data Science

Accountabilities:

• • Lead business optimization strategy: Act as a key liaison between business stakeholders and the Data Science team, helping identify opportunities where data and analytics can address organizational priorities and improve outcomes.
  • Coordinate cross-functional initiatives: Facilitate collaboration across Growth, Strategy, Enablement, Finance, technology, product, and other business functions to ensure data science priorities align with broader organizational and technology roadmaps.
  • Manage Agile delivery: Work with senior data science leadership to identify and prioritize high-impact initiatives, translate business requirements into technical direction, and manage epics, backlogs, sprint planning, grooming, reviews, and ongoing delivery.
  • Support data science projects: Partner with opportunity owners and project leads to develop data-driven solutions for selected clients, helping move initiatives from business requirements through execution and delivery.
  • Facilitate client engagement: Participate in in-person client workshops, requirements-gathering sessions, results presentations, and business development meetings, helping connect technical capabilities with client needs.
  • Translate data into business insights: Turn complex datasets, analytical outputs, and technical concepts into clear, compelling recommendations that can be understood and acted upon by executives, clients, and cross-functional teams.
  • Coordinate with technical teams: Work closely with data science, agency technology, product, and other technical stakeholders to ensure priorities, dependencies, and delivery plans remain aligned.
  • Support data-driven tools and reporting: Help guide the development and use of dashboards, analytics solutions, and intelligence tools that enable better business decisions.
  • Drive operational excellence: Establish effective processes for prioritization, communication, delivery tracking, and continuous improvement across data science workstreams.

  Requirements:

  • Strategic and product-oriented experience: Demonstrated experience connecting business priorities with technical or data-driven solutions, ideally with a background in product ownership, operations, strategy, or data science program management.
  • Data science exposure: Strong understanding of how data science teams operate and how analytical capabilities can be translated into practical business solutions.
  • Agile delivery management: Experience managing Agile development processes, including epic planning, backlog prioritization, sprint planning, backlog grooming, sprint reviews, and delivery coordination.
  • Cross-functional leadership: Ability to facilitate conversations and align stakeholders across business, technology, data, finance, strategy, and other functions.
  • Client-facing capability: Comfortable participating in client workshops, requirements sessions, presentations, and business development discussions.
  • Communication: Excellent written and verbal communication skills, with the ability to explain sophisticated analytical or technical concepts in clear, accessible business language.
  • Technical understanding: Solid knowledge of database concepts and familiarity with data, analytics, and technology environments.
  • Project management tools: Comfortable working with project management and collaboration platforms such as Jira or comparable tools.
  • Business intelligence: Experience with Tableau, Power BI, or similar BI platforms and the ability to understand how dashboards and visualizations can support decision-making.
  • Leadership and influence: Ability to prioritize competing demands, build alignment, facilitate productive discussions, and drive initiatives forward without relying solely on formal authority.
  • Problem-solving mindset: Strong analytical thinking and the ability to identify opportunities, clarify ambiguous requirements, and develop practical approaches to complex business challenges.
  • Collaborative approach: Comfortable working alongside data scientists, technologists, knowledge workers, subject-matter experts, and business leaders in a dynamic environment.

  Benefits:

  • Annual compensation range of $119,000–$160,000, depending on experience.
  • Health, vision, and dental insurance.
  • 401(k) benefits.
  • Employee stock purchase plan.
  • Vacation, personal days, and paid holidays.
  • Disability and life insurance options.
  • Flexible Spending Account (FSA) and Health Savings Account (HSA) plans, subject to applicable plan terms.
  • Opportunity to work remotely.
  • Collaborative environment focused on data, technology, innovation, and meaningful business impact.
  • Inclusive workplace culture that values diverse backgrounds, perspectives, strengths, and contributions.