Director of People Data and Analytics

Google · Gurgaon

  • Experience15–19 yrs
  • SalaryNot disclosed
  • Work modeonsite
  • Levelexecutive
  • Posted2 Sept 2026
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About Google

Google is hiring in Gurgaon in technology software. This role looks for around 15+ years of experience.

Skills

  • data architecture
  • data engineering
  • data analytics
  • data governance
  • Agile
  • data warehouses
  • ETL
  • CI/CD
  • data pipelines
  • observability
  • access controls
  • analytics tools
  • cloud engineering
  • platform engineering
  • release management
  • root cause analysis

The role

A people data and analytics director at a technology software company sets technical strategy for People data products, applying data architecture, data engineering, and data analytics to talent, compensation, and HR platforms. The role also leads data governance and Agile delivery across secure, scalable analytics products.

Full job description

The People Data and Analytics Director is a senior leader within the People/HR Digital Product Team, accountable for the technical design, engineering standards, and delivery capability of a team delivering robust data products and analytics tools for BCG's People/HR function. This is a hands-on strategic role: you will partner with the Product Team Lead to set product priorities and architecture decisions, manage stakeholders, and scale the People data engineering and analytics capability. You will work closely with the Product Team Leads and Technology Leads on refining the data product roadmaps and the tech data strategy across Talent Management, Talent Acquisition and Core HR domains. This role will also serve as the delivery owner for a new Rewards Data Product. This product, part of a larger Compensation and Benefits transformation program, will be central to compliance with new EU Pay Transparency legislation, while also delivering new insights into BCG's global compensation landscape, influencing strategic direction.

Responsibilities:

Set the technical strategy, architecture, and engineering standards for People data analytics products and the People Data and Tech target operating model. Lead the skill chapters: chapter leads, architects, data engineers, and visualization analysts.

Continue to learn and adapt new AI/Gen AI based tools to improve productivity, adopt new standards, and drive innovation and productivity.

Drive platform decisions for the modern data stack (data warehouse/curated data marts, ETL, CI/CD for data pipelines, observability, access controls, and analytics tools).

Steward existing technical artifacts and decisions into a secure, scalable production state.

Partner closely with Data Governance experts to ensure data quality, effective monitoring, adequate controls, and compliance.

Manage the end-to-end technical delivery across all phases/lifecycles of product/program roadmaps.

Work closely with key stakeholders to understand business problems and surface technology options to address those problems, including experimenting with emerging technologies.

Apply Agile software development methodologies and principles.

Oversee technical architecture, tooling, platforms, and systems in coordination with Enterprise Architecture, and ensuring compliance with standards and guardrails.

Collaborate with other enterprise teams on UX design, security best practices, and cloud and platform engineering.

Lead technical analysis of new tooling and platforms.

Drive release management and automation best practices.

Ensure proper root cause analysis and remediation are executed during any incidents or outages.

Work with vendors to augment team capacity and knowledge.