Director Data Products

Job Title: Director Data Product

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About the Role

We are looking for a dynamic and technically proficient leader to take on the role of Director – Data, responsible for driving enterprise-wide data initiatives. This role blends strategic vision with hands-on leadership in data analytics, governance, and enablement. The Director will lead data strategy execution, foster a data-driven culture, and ensure the delivery of actionable insights that support business objectives. Working closely with cross-functional teams, the Director will oversee data quality, advanced analytics, and the democratization of data across the organization.

Key Responsibilities & Strategic Leadership

Data Strategy & Vision

- Define and implement the organization’s data strategy aligned with business goals.

- Promote data-driven decision-making across business functions.

Team Leadership

- Lead and mentor a team of data scientists, analysts, and BI developers.

- Establish best practices and foster a collaborative, high-performance culture.

Advanced Analytics & Innovation

- Oversee the development of machine learning models, predictive analytics, and data visualization solutions.

- Encourage innovation through the adoption of modern analytics tools and techniques.

Stakeholder Engagement

- Collaborate with business leaders, product teams, and operations to identify analytical needs and deliver impactful solutions.

- Translate complex data insights into clear business recommendations.

Data Governance & Quality

- Partner with Data Engineering and IT to ensure data accuracy, integrity, and availability.

- Implement governance frameworks and ensure compliance with organizational standards.

Analytics Enablement

- Promote self-service analytics through platforms, training, and tools.

- Drive data literacy and empower teams to leverage data effectively.

Cloud Architecture & Infrastructure

- Lead the design and implementation of scalable data solutions on AWS architecture.

- Ensure optimal use of AWS services for data storage, processing, analytics, and security.

- Collaborate with cloud engineering teams to align data infrastructure with enterprise cloud strategy.

Industry Intelligence

- Stay informed on emerging trends in data science, AI, and governance.

- Evaluate new technologies and methodologies for potential adoption.

Candidate Profile

Education & Experience

- Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Business Analytics, or related field.

- 12–15 years of experience in data analytics or data science, with 3–5 years in a leadership role.

- Experience in leading cross-functional teams and delivering enterprise-level analytics solutions.

Technical Expertise

- Proficiency in SQL and Python.

- Strong experience in AWS architecture, including services like S3, Redshift, Glue, Lambda, and SageMaker.

- Familiarity with big data platforms and BI tools (e.g., Tableau, Power BI, Looker).

- Solid foundation in machine learning, statistical modeling, and predictive analytics.

Leadership Role – Core Competencies

• Technical Expertise: Deep subject-matter knowledge; mentors others and drives excellence.
• Strategic Thinker: Sets direction, aligns priorities, and influences at scale.
• Type A Energy: Assertive, organized, goal-oriented, and relentlessly driven.
• Confident Communicator: Clear, persuasive, and audience aware.
• Innovative & Impact-Driven: Anticipates challenges, creates solutions, and measures results.
• Systems & Scale Focused: Designs for long-term impact and cross-functional scalability.
• Agile Leader: Adapts quickly, thrives in ambiguity, and leads through change.
• Authentic & Accountable: Leads with integrity, urgency, and ownership.
• Developer of People: Builds talent and champions growth.

Soft Skills

- Excellent communication and storytelling abilities.

- Strong problem-solving and creative thinking skills.

- Demonstrated ownership, accountability, and collaboration.

- Ability to mentor and inspire teams while driving innovation.