VP- Product Engineering
VP- Product Engineering
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Job Description
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 organizations 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
- Bachelors or Masters 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
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Technical Expertise: Deep subject-matter knowledge; mentors others and drives excellence.
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Strategic Thinker: Sets direction aligns priorities and influences at scale.
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Type A Energy: Assertive organized goal-oriented and relentlessly driven.
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Confident Communicator: Clear persuasive and audience aware.
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Innovative & Impact-Driven: Anticipates challenges creates solutions and measures results.
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Systems & Scale Focused: Designs for long-term impact and cross-functional scalability.
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Agile Leader: Adapts quickly thrives in ambiguity and leads through change.
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Authentic & Accountable: Leads with integrity urgency and ownership.
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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.
Employment Type
Full-time
