Director Data Products

Job Title: Director Data Product

Work Location: Hyderabad or Chennai (open to Bengaluru, Mumbai, Pune, NCR)

Work Arrangement: Requires a minimum of 9 working days per month from the Chennai office, with the remaining days flexible to be worked from any of the other listed locations.

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.