Associate II - Innovation & Solutions
Aon
- Location
- Gurgaon, India
- Employment
- Full Time
- Work model
- On-Site
- Level
- Entry
Skills
About this role
Job Title: Associate II - Innovation & Solutions Solution Line: Talent Solutions Operations Team: Talent Solutions - EMEA Position Type: Full Time Work Mode: In Office Cab Facility: No Shift Time: Flexible People Manager Role: No Annual Revenue Responsibility: Yes Required education and certifications critical for the role: Degree or academic background in artificial intelligence, data science, analytics, technology, or related discipline, combined with practical exposure to human capital advisory, workforce analytics, talent, rewards, HR solutioning, or consulting Degree or formal academic background in human resources, organizational psychology, business, talent management, rewards, or a recognized HR programme, combined with practical experience applying AI, analytics, automation, or digital tools in a delivery or advisory setting. Work Experience: Minimum 2-4 years of work experience Advisory solutioning, analytics support, AI-enabled delivery About AON Aon plc (NYSE: AON) (formerly known as Aon Hewitt) is the world’s pre-eminent firm offering broad range of solutions to clients in the area of risk, retirement, health, wealth and human capital solutions. Our singular focus is on our clients: We deliver distinctive value, top-rated customer service, and measurable business impact. Aon’s Talent Solutions consulting practice is one of the largest full spectrum HR consulting practices and is home to firm’s rewards, talent assessment, and talent strategy practices. We apply this expertise, and our market-leading workforce data, to help clients tackle transformational projects requiring integrated solutions to client problems. We develop insights on performance and people analytics - driven by our proprietary data, technology, and advisory services - to help clients reduce volatility and improve outcomes.
Position
Overview Aon Talent Solutions helps organizations across EMEA make better workforce decisions through market-leading human capital advisory, rewards, talent, assessment, and workforce analytics solutions. The Innovation and Solutions Associate will support the development of scalable advisory assets, research outputs, data analysis, and AI-enabled delivery workflows. This role will contribute to codifying repeatable advisory work into practical templates, prompt libraries, dashboards, research summaries, and client-ready materials while supporting the broader innovation agenda across EMEA Talent Solutions.
Key Responsibilities
Support the design and documentation of repeatable advisory frameworks, templates, prompt libraries, and delivery assets. Coordinate inputs across consultants, solution line leaders, GCC partners, and internal delivery teams to support solution development. Prepare draft reports, research summaries, benchmarking outputs, presentations, and data-backed narratives for review. Apply Excel, Power BI, or similar tools to organize, validate, analyze, and visualize workforce, rewards, engagement, and advisory data. Use AI-enabled tools responsibly to support research, drafting, summarization, quality checks, workflow automation, and productivity improvement. Track priorities, timelines, stakeholder inputs, risks, and follow-through actions across multiple innovations and advisory workstreams. Maintain high standards of accuracy, documentation, confidentiality, and version control across all outputs. Assist in translating workforce trends, market research, client priorities, and regional updates into clear advisory content. Collaborate effectively within the team while demonstrating ownership and initiative on assigned tasks.
Required Qualifications
Degree or academic background in artificial intelligence, data science, analytics, technology, or related discipline, combined with practical exposure to human capital advisory, workforce analytics, talent, rewards, HR solutioning, or consulting. Or a degree or formal academic background in human resources, organizational psychology, business, talent