About The Position

The Senior Manager - Workforce Skills, Learning & Career Development will help build a future-ready Enterprise Technology Services (ETS) workforce by connecting roles, skills and workforce intelligence with business priorities and learning and career development (L&CD) investment. The role supports strategic workforce decisions, targeted development and career growth. Working with the Director of ETS Continuous Learning & Career Development, the Senior Manager will establish an evidence-led view of workforce skills and proficiency, identify priority skills gaps, direct learning investment toward critical capabilities, and lead future-skills initiatives aligned with ETS priorities and emerging technologies. The role will also connect skills, career pathways and learning opportunities, integrate workforce data to inform planning and build, buy or redeploy decisions, and evolve the Technology Career Framework (TCF) through effective governance. Success includes reliable workforce skills intelligence, better-informed workforce decisions, focused and effective learning investment, readiness for future skills, clearer career development opportunities, and a relevant, well-governed TCF.

Requirements

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

Nice To Haves

  • 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.

Responsibilities

  • 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 and AI governance.
  • Shape a unified ETS workforce skills intelligence approach that connects skills, roles, careers and learning data in partnership with workforce strategy, data and technology owners.
  • Analyze workforce data to identify skills gaps and inform strategic workforce fulfilment and development decisions, including buy, build, borrow and bot options.
  • Lead skills-of-the-future initiatives aligned with ETS priorities, using TalentNeuron, internal intelligence and emerging technology trends.
  • Anticipate evolving roles and skills, including the effects of AI and automation, and assess implications for workforce readiness and capability.
  • Translate market and workforce intelligence into evidence-based recommendations for senior leaders through structured problem-solving and data analysis.
  • Partner with Workforce Strategy and Technology leaders to prioritize learning investment against critical skills gaps and business needs.
  • Shape targeted, market-relevant learning pathways and upskilling and reskilling initiatives.
  • Evaluate learning effectiveness in terms of skills progression and business impact to inform investment decisions.
  • 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.
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