Job Title: Director – Data Product
Location: Hybrid – Hyderabad/Chennai/Bangalore/Mumbai/Pune
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.
- 16–20 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.