Job Description

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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).

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