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.