Director of Operations

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Director of Operations, Data Science based in Austria.

• 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.

• 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.

• 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.