Director, AI Technology & Analytics, People Function in London

The Company

Nscale is an AI infrastructure company building the next generation hyperscaler, engineered specifically for artificial intelligence.

Founded to power the world’s most demanding AI workloads, Nscale delivers a vertically integrated, performance-optimized platform spanning compute, data centres, and orchestration software.

The company’s mission is to make AI infrastructure accessible, sovereign, and sustainable for enterprises, governments, and AI-native organisations.

The People Function

Nscale is building its people function entirely from the ground up.

With the company scaling at extraordinary pace across Europe, North America, and APAC, the goal is to design a modern, AI-enabled people organisation that mirrors Nscale’s own ambition: fast, data-driven, globally consistent, and built for scale.

The function is led by the Chief People Officer, Naeem Hatimi, who joined last year to assemble a world-class leadership team to create the architecture, systems, and culture that will support Nscale through hypergrowth and toward IPO readiness.

The vision is to build a people organisation that blends operational excellence with innovation; one that harnesses AI and automation to deliver insight, efficiency, and exceptional employee experience.

The focus is on building vs. inheriting, designing structures, playbooks, and practices for the first time, and scaling them globally at speed.

The leaders joining now will directly shape Nscale’s future operating model, culture, and employee experience worldwide.

The Opportunity

The Director, AI Technology & Analytics is a strategic leadership position that combines People technology platform management with advanced people analytics to drive digital transformation and data-driven decision-making across the people function.

This is a pivotal moment for the organisation: AI is fundamentally reshaping how the People team operates, and this role sits at the centre of that transformation.

Acting as the primary bridge between the People team and IT, this role will lead People team business engagement, oversee solution design, delivery and operations, and ensure People team systems enable scalable, compliant and data-driven people processes.

Critically, this leader will own how AI and automation change the way People team deliver value – not just adopting new tools, but embedding intelligence across the full employee life-cycle.

This role holds end-to-end accountability for the People technology landscape, including Workday (core HCM and modules), and associated platforms such as talent acquisition, learning management systems, benefits providers, and People master data solutions.

The Workday Technology Operations and analytics team will report directly into this role.

Key Responsibilities

• Technology Strategy & Ecosystem Oversight
• Develop and execute comprehensive People technology roadmaps across Talent Management, Talent Acquisition, Total Rewards, and People Shared Services
• Provide strategic oversight and integration across the wider People technology landscape
• Ensure systems operate as a cohesive ecosystem, with strong integration, governance and user experience
• Partner with IT and People Centres of Excellence to align with enterprise strategy and security standards
• AI Transformation & Innovation
• Define and own the enterprise AI strategy for the People team, identifying high-value use cases across the employee life-cycle – from intelligent sourcing and onboarding automation to AI-driven performance insights and attrition prediction
• Lead the evaluation, procurement and integration of AI-native People platforms and large language model (LLM) capabilities into existing workflows and the Workday ecosystem
• Partner with IT security and legal to establish responsible AI governance frameworks, including bias auditing, explainability standards and data privacy controls for AI-driven People decisions
• Build and execute a People team AI adoption roadmap, prioritising initiatives by ROI, feasibility and workforce readiness, with clear milestones and success metrics
• Champion AI literacy across the People function – designing and delivering training programmes that upskill People business partners, recruiters and COE teams to work confidently alongside AI tools
• Deploy agentic AI and automation to reduce manual effort in transactional People processes (e. g. case management, document processing, payroll queries), freeing People team capacity for strategic work
• Leverage generative AI to accelerate People team content creation – including job descriptions, policy documentation, communications and personalised employee messaging at scale
• Evaluate and pilot AI-powered copilot experiences within Workday and connected platforms to surface real-time guidance for managers and employees
• Lead experimentation on emerging AI capabilities (e. g. skills inference, internal talent marketplace matching, AI interview tools) with structured pilots and outcome measurement
• Act as the People function’s voice in enterprise-wide AI governance committees, influencing standards, policies and investment decisions
• Monitor the rapidly evolving AI vendor landscape and provide executive-ready briefings on emerging technologies, competitive positioning and strategic implications
• Measure and communicate the business impact of AI investments – tracking adoption rates, efficiency gains, cost savings and improvements in employee and manager experience
• People Analytics Leadership
• Build a data-driven culture through dashboards, predictive models and actionable insights
• Deliver executive-level reporting and analytics to support strategic decision-making
• Partner with People teams to provide data-driven insights on workforce planning, retention and performance
• Develop analytics capabilities using tools such as Power BI, Tableau, SQL, R or Python
• Embed AI and ML models into analytics products – moving from descriptive reporting to predictive and prescriptive insights
• Establish data quality, lineage and governance standards to ensure analytics outputs are trusted and auditable
• People Technology Leadership & Solution Delivery
• Own the end-to-end delivery of People technology solutions, from demand intake and design through build, testing, deployment and stabilisation
• Ensure solutions are aligned to agreed business outcomes, architectural standards and security, privacy and compliance requirements
• Lead cross-functional delivery teams and external partners to deliver complex, multi-system People initiatives on time and within scope
• Integrate AI and automation capabilities into solution design patterns as a default consideration, not an afterthought
• Workday Platform Ownership & Operations
• Provide executive leadership and direction for the Workday platform, including roadmap planning, release management, configuration, integrations and ongoing optimisation
• Oversee the Workday Operations team, ensuring high system availability, data quality and effective support for the People team and the business
• Lead, mentor and guide the Workday operations team to deliver and support innovative product capabilities while fostering collaboration across IT and the People team
• Act as the senior escalation point for Workday-related issues, risks and decisions
• Drive adoption of Workday’s native AI and ML features (e. g. Skills Cloud, talent recommendations, Extend platform) as part of a coherent AI product strategy
• Stakeholder Engagement
• Act as trusted adviser to People leadership and business executives on AI strategy, technology investments and digital transformation priorities
• Translate complex technology, AI and analytics concepts into clear narratives for non-technical audiences
• Influence senior stakeholders to build alignment and drive successful outcomes
• Shape the organisation’s understanding of responsible AI – building trust in how data and AI are used in people decisions
• Leadership & Capability Building
• Build, lead and develop high-performance People technology, analytics and AI teams
• Foster a culture of accountability, collaboration, continuous improvement and responsible experimentation
• Act as a visible, credible technology and AI leader within IT and the broader organisation
• Create a team environment where AI tools augment human capability rather than replace judgement

Experience and Skills

• 10–12+ years in technology and analytics leadership roles, with demonstrated experience leading large-scale AI or digital transformation programmes
• Deep familiarity with enterprise AI platforms, LLMs, agentic workflows and responsible AI governance – including hands-on experience deploying AI in People contexts
• Understanding of AI adoption and automation in People processes, with a track record of driving measurable business outcomes
• Experience with AI ethics, bias auditing and responsible AI frameworks in a People context
• Familiarity with emerging AI regulation (e. g. EU AI Act) and its implications for People team decision-making
• Experience with People systems, Workday preferred; understanding of AI feature roadmaps within major People platforms
• Proficiency with analytics and ML tools including Power BI, Tableau, Python, R and SQL
• Knowledge of inferential statistics, predictive modelling and ML model deployment
• Experience leading digital transformation and large-scale system implementations
• Proven ability to lead AI adoption programmes, build data literacy and drive behavioural change across diverse stakeholder groups
• Executive communication skills; able to make the case for AI investments and influence at C-suite level
• Strategic thinking with strong project management capabilities
• Background in cross-functional execution

For information on how Nscale handles candidate personal data, please see our Employee & Candidate Privacy Notice: Here.

#J-18808-Ljbffr