Head of DataPeople Analytics & Insights

JOB DETAILS

JOB BAND: F

CONTRACT TYPE: Permanent Full-time

DEPARTMENT: HR

LOCATION: Anywhere UK but must be able to travel to Birmingham once or twice per week.

PROPOSED SALARY RANGE: Up to 130500 depending on relevant skills knowledge and experience. The expected salary range for this role reflects internal benchmarking and external market insights.

People Analytics & Insights at the BBC is a fast-evolving capability and a key enabler of our Enterprise Data Strategy. As Head of Data People Analytics & Insights reporting to the BBC People Services Director you will lead the next phase of our people data transformation; developing strategic data-driven solutions that support organisational HR and enterprise-wide priorities. As such you will ensure that our people data is trusted interoperable and designed as a high-value data product.

PURPOSE OF THE ROLE

This is a high-impact leadership role requiring a visionary data leader who can balance technical depth strategic influence and product thinking. Youll work closely with senior stakeholders across the BBC to position HR as a driver of organisational transformation and ensure our people data capabilities are trusted scalable and future-ready.

Youll also be responsible for leading developing and growing a high-performing team fostering a culture of innovation collaboration and continuous learning. Your leadership will be key to building capability driving performance and ensuring the team is empowered to deliver meaningful insights and value.

YOUR KEY RESPONSIBILITIES AND IMPACT:
Lead and grow a high-performing team of data professionals creating a culture of excellence inclusion and continuous development.
Drive the implementation of the Enterprise Data Strategy in delivering priority group use cases ensuring alignment of the People Data Domain with BBC-wide transformation goals.
Partner with data platform architecture and technology teams to embed enterprise-grade capabilities that support analytics AI and automation.
Establish a single governed view of workforce data covering employees contingent workers and international colleagues with a focus on compliance accuracy and interoperability.
You will oversee the lifecycle of People Data Products ensuring they deliver measurable business value working with Technology partners.
Develop a roadmap for integrating AI and advanced analytics into HR processes enabling predictive insights and automation.
Champion data literacy and culture across HR and the wider organisation embedding data-led decision-making as a strategic capability.
Collaborate with the HR Leadership Team and senior leaders to ensure people analytics informs workforce strategy and business performance.
Lead engagement with external stakeholders (e.g. Ofcom NAO) on regulatory data requests and obligations.

YOUR SKILLS AND EXPERIENCE

ESSENTIAL CRITERIA
Proven experience developing and leading group data and analytics strategies ideally in a complex or multi-brand organisation aligned to a domain-oriented model.
Demonstrated success in building and leading high-performing cross-functional data teams and scaling analytical capability across business functions.
Strong track record of driving data transformation and maturing data governance and architecture within a hybrid or federated environments in support of system and process modernisation.
Expertise in data product management data platforms metadata management and data quality frameworks.
Ability to connect people analytics with business value linking data insights to workforce financial and operational outcomes.

DESIRED BUT NOT REQUIRED:

Experience with AI machine learning and automation in HR or enterprise analytics.
Experience partnering across data technology finance and operations to deliver enterprise outcomes.
Understanding of data privacy ethics and governance in handling sensitive workforce data
Expertise in HR systems and processes (e.g. talent learning performance engagement) and their data integration..
Experience managing data programs across diverse geographies or organisational entities.