Note: The job is a remote job and is open to candidates in USA. Nscale is an AI infrastructure company focused on building advanced solutions for demanding AI workloads. The Director, AI Technology & Analytics will lead the integration of AI and people analytics to drive digital transformation and enhance decision-making within the People function.
Responsibilities
- 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 Centers of Excellence to align with enterprise strategy and security standards
- Define and own the enterprise AI strategy for the People team, identifying high-value use cases across the employee lifecycle - 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, prioritizing initiatives by ROI, feasibility, and workforce readiness, with clear milestones and success metrics
- Champion AI literacy across the People function — designing and delivering training programs 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 personalized 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
- 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
- Own the end-to-end delivery of People technology solutions, from demand intake and design through build, testing, deployment, and stabilization
- 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
- Provide executive leadership and direction for the Workday platform, including roadmap planning, release management, configuration, integrations, and ongoing optimization
- 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
- Act as trusted advisor 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 organization’s understanding of responsible AI — building trust in how data and AI are used in people decisions
- Build, lead, and develop high-performing 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 organization
- Create a team environment where AI tools augment human capability rather than replace judgment
Skills
- 10–12+ years in technology and analytics leadership roles, with demonstrated experience leading large-scale AI or digital transformation programs
- 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 programs, build data literacy, and drive behavioral 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
Company Overview