Director Data Science

Benefits

Additional Information

Approach to Work Operates in a technical leadership capacity, leading large teams or complex initiatives. Owns the design and delivery of key segments within the Data Science function. Drives teams to deliver scalable, high-quality, reproducible, and measurable experiments and PoCs. Sets scientific standards and champions strong methodological approaches. Identifies and applies industry innovations and emerging AI capabilities into day-to-day work. Designs robust experimentation frameworks and establishes trusted KPIs. Promotes the Data Science brand internally and externally through impactful delivery and stakeholder engagement. Focus of Activities Defines and leads execution of complex, large-scale technology initiatives and teams. Ensures delivery of robust, reproducible data science solutions, PoCs, and applications. Shapes research directions aligned with business impact and emerging scientific trends. Reviews and improves methodologies across Data Science initiatives. Analyzes scientific literature to identify improvements and innovation opportunities. Drives vision and execution to meet commitments and ensure stakeholder satisfaction. Stakeholder & Leadership Management Collaborates with Product Leaders, Program teams, and Senior Technology stakeholders. Influences decision-making and sets clear priorities and expectations. Navigates complex stakeholder environments with confidence and clarity. Manages teams directly or indirectly aligned to initiatives. Builds and maintains external partnerships within the ecosystem. Acts as a change agent, fostering alignment and overcoming resistance when needed. Product Mindset Shapes and influences product development lifecycle based on deep product and technical knowledge. Partners with Product teams to define priorities and roadmap clarity. Promotes a product-centric culture focused on end-user experience. Drives continuous innovation and product improvement. Estimates and sizes complex initiatives with multiple dependencies. Defines both functional and non-functional solution requirements. 10+ years of experience in Data Science, Statistics, or Mathematics 5+ years of experience in a leadership role Proven expertise in designing scalable data science solutions and leading complex initiatives Strong experience in experimentation design, KPIs, and scientific methodologies Demonstrated ability to influence product development and business strategy Core Competencies Analytical Problem Solving Expert-level ability to solve complex and interconnected problems. Identifies hidden data patterns and connections to support strategic decisions. Understands broader implications across technologies and processes. Encourages innovation, experimentation, and diverse perspectives. Applies new and emerging methodologies to solve challenging problems. Social Intelligence Strong relationship-building skills in complex organizational environments. Communicates complex technical concepts with clarity and impact. Drives change and influences stakeholders and senior leadership. Builds collaborative, high-performing teams aligned around shared goals. This role has a market-competitive salary with an anticipated base compensation of the following range: $110,000 -$200,000 . Actual salaries will vary depending on a candidate's experience, qualifications, skills, and location. This role might also be eligible for a Sales-based incentive or performance-based bonus. Other benefits include a flexible working environment, comprehensive health insurance, industry-leading parental leave, life insurance, education support, and more.

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Company Intel

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