AYN

Senior Manager - Workforce Skills, Learning & Career Development

Employer not yet confirmed · New York, New York, United States · hybrid

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.

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