Director, HR Data Product Development

Director, HR Data Product Development

We are seeking a strategic and innovative Director of HR Product Development to lead the transformation of our Workforce Analytics & Insights team in India. This role will be pivotal in evolving our function from traditional reporting to delivering scalable, data-driven products and solutions that empower HR and business leaders with actionable insights.

You will lead a team of analysts and senior analysts, guiding them through a transformation journey toward advanced analytics, data science, and productized insights. This is a high-impact role for a visionary leader who thrives at the intersection of people, data, and technology.

Main responsibilities include, but are not limited to:

• Team Leadership & Development
  • Lead, mentor, and grow a team of analysts, senior analysts, and lead analysts.
  • Foster a culture of innovation, continuous learning, and data-driven decision-making.
  • Drive team transformation from ad-hoc and recurring reporting to scalable analytical products.
• Product Development & Strategy
  • Define and execute a roadmap for HR data products and self-service analytics tools.
  • Translate business needs into scalable, repeatable analytics products and dashboards.
  • Ensure alignment with enterprise data architecture and governance standards.
• Cross-Functional Collaboration
  • Partner closely with the HR Product Management team within Workforce Analytics & Insights to ensure alignment between product development and customer engagement strategies.
  • Collaborate with HR Product Managers to incorporate user feedback, prioritize features, and enhance the usability and impact of analytics products.
  • Work jointly to deliver a seamless experience for HR and business stakeholders, from insight generation to product adoption.
• Data & Analytics Transformation
  • Streamline data management processes and improve data quality and governance.
  • Introduce and scale advanced analytics and data science capabilities within the team.
  • Champion the use of predictive analytics, machine learning, and automation to drive insights.
• Stakeholder Engagement
  • Collaborate with HR and business leaders to understand key challenges and deliver insights that drive strategic decisions.
  • Communicate complex data concepts in a clear and compelling way to non-technical audiences.
• Ad-Hoc Request Management
  • Establish and oversee a structured intake and triage process for all incoming ad-hoc data and reporting requests.
  • Ensure timely, accurate, and prioritized responses to stakeholder needs while balancing long-term product development goals.
  • Support the HR Product Management team by providing analytical expertise and capacity to address urgent or high-impact requests.

Experience Required:

• 8+ years of experience in analytics, data product development, or related fields, with at least 3 years in a leadership role.
• Proven experience leading analytics teams and delivering data products in an HR or people analytics context.
• Strong understanding of data architecture, data governance, and modern analytics platforms (e.g., Power BI, Tableau, SQL, Python, R).
• Experience with cloud-based data environments (e.g., Azure, AWS, GCP) is a plus.
• Excellent communication, collaboration, and stakeholder management skills.
• Passion for transforming data into actionable insights that drive business impact.

Skills Required:

• Excellent project management skills, with the ability to manage and prioritize multiple projects across different regions and time zones.
• Strong cross-cultural communication skills and the ability to collaborate with teams across diverse regions.
• Excellent analytical and problem-solving abilities.
• Excellent planning skills.
• Works well under pressure with the ability to work at pace in an agile manner delivering outputs in the moment.
• Excellent team player with a collaborative approach.
• Influence with a positive and professional attitude.
• Experience in workforce analytics, HRIS, or people data systems.
• Familiarity with data science techniques and tools (e.g., machine learning, NLP).