Director, HR Data Product Development

Context & Job Purpose
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.

Key Responsibilities
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).