Senior Manager - Workforce Skills, Learning & Career Development

The Senior Manager - Workforce Skills, Learning & Career Development role will drive the development of a future-ready Enterprise Technology Services (ETS) workforce by connecting roles, skills and workforce intelligence with business priorities and L&D investment to enable strategic workforce decisions, targeted development and career growth.

Working with the Director of ETS Continuous Learning & Career Development, the role will deliver value through:

• Workforce skills visibility: Establishing a scalable, evidence-led approach to understanding existing workforce skills and proficiency levels.
• Strategic learning investment: Identifying priority skills gaps and directing L&CD investment towards the capabilities that matter most to ETS.
• Future skills readiness: Leading skills-of-the-future initiatives aligned to ETS priorities, emerging technologies and evolving workforce needs.
• Career growth and mobility: Connecting skills, career pathways and learning opportunities to support colleague development and progression.
• Intelligence-led workforce decisions: Connecting roles, skills, careers and learning data to inform workforce planning and build, buy or redeploy decisions.
• Sustainable framework evolution: Driving the continuous evolution of TCF to reflect changing business needs, emerging technologies and industry trends, underpinned by effective governance.

1. Workforce Skills Intelligence & Assessment

• Develop a scalable, evidence-led approach to understanding ETS workforce skills and proficiency levels.
• Evaluate skills assessment, self-service, telemetry and inference methods, balancing accuracy, cost, scalability, colleague trust and data/AI governance.
• Shape a unified ETS workforce skills intelligence approach, connecting skills, roles, careers and learning data in partnership with workforce strategy, data and technology owners.
• Analyse workforce data to identify skills gaps and inform strategic workforce fulfilment (buy, build, borrow, bot) and development decisions.

2. Market Intelligence & Future Skills

• Lead skills-of-the-future initiatives aligned to ETS priorities, leveraging TalentNeuron, internal intelligence and emerging technology trends.
• Anticipate evolving roles and skills, including the impact of AI and automation, and assess implications for workforce readiness and capability
• Apply structured problem-solving and data analysis to translate market and workforce intelligence into evidence-based recommendations for senior leaders.

3. Learning & Career Development

• Partner with Workforce Strategy and Technology leaders to prioritise learning investment against critical skills gaps and business needs.
• Shape targeted, market-relevant learning pathways, upskilling and reskilling initiatives.
• Evaluate learning effectiveness on skills progression and business impact to inform investment decisions.

4. Technology Career Framework Ownership & Governance

• Own the ongoing management, governance and evolution of the Technology Career Framework, including job architecture, skills, proficiency levels and career pathways.
• Drive evidence-led framework enhancements informed by market intelligence, workforce insights and ETS priorities, through established governance and approval processes.
• Streamline framework processes and strengthen adoption across ETS.

Essential

• Strategic problem-solving: Strong management consulting or equivalent advisory experience, with the ability to structure ambiguous business challenges, evaluate options and develop practical recommendations.
• Skills and workforce expertise: Experience in skills intelligence, workforce planning, job architecture, talent strategy or workforce development.
• Data analysis and insight generation: Proven ability to interpret complex datasets, identify trends, assess data quality and translate evidence into actionable business insights.
• Executive communication: Strong data storytelling, presentation and influencing skills, with experience communicating recommendations to senior leaders.
• Delivery leadership: Experience translating strategic recommendations into practical solutions and leading cross-functional initiatives in complex organisations.

Desirable

• Experience working with Technology organisations and understanding emerging technical skills, including AI and automation.
• Familiarity with labour market and skills intelligence platforms such as TalentNeuron.
• Experience evaluating workforce skills assessment, inference or telemetry approaches.
• Knowledge of People data, workforce analytics, and skills data integration.
• Experience governing or evolving skills frameworks, job architecture or career development programmes.

What Success Looks Like

• Reliable workforce skills intelligence: A scalable approach to understanding existing skills and identifying priority gaps.
• More informed workforce decisions: Integrated insights that support strategic workforce planning, talent development and fulfilment.
• Focused L&D investment: Learning priorities and initiatives aligned to validated business needs, with evidence of effectiveness.
• Future skills readiness: Proactive identification of emerging skills requirements and corresponding development actions.
• Career development: Clearer connections between skills, learning and career opportunities.
• Sustainable TCF evolution: A relevant, well-governed framework that continues to adapt to business and market needs.