Responsible for Business Development, Product Design, and Solution Delivery for problem statements around Total Rewards Philosophy, AI Transformation of Jobs, Carrer Lattice & Mobility Design, Competency Framework Design, Incentive Design, Job Evaluation and Workforce Analytics.• Relationship manager for 30+ strategic accounts spanning multiple industries in the Technology space• Led & executed 0-1 & 1-10 product journeys 2.5+ years overseeing end to end iterative development• Storyboarded key customer journeys & identified interface patterns to build 13 prototypes.• Constructed applications basis algorithms to automate internal processes & reduce time to delivery by 70%• Developed a Data Science product to predict how jobs & archetypes will change with successive waves of AI & how organizations should evolve around it. Launched the same with demos at our Annual Rewards Conference to CXOs• Architected a Rewards Philosophy Design Builder that generates rewards philosophy and strategies basis a company’s current state, & optimizes for Brand Perception & Retention• Designed a product to design career lattices basis competency overlaps to generate cross domain career pathways improving supply-demand gaps, multiskilling, fungibility, and employee satisfaction.• Drafted Go-to-market (GTM) strategies for consumer segments basis value creation & impact• Organized Aon’s Annual Talent & Rewards Conference for 3 consecutive years for India & APAC. Created research content, Developed proprietary solutions, Liaised with speakers, & ensured participation of 400+ companies• Executed India’s longest running Salary Increase and Turnover Study for Aon collaborating with cross functional teams across all industries, subsectors & geographies• Led & executed projects on Compensation Benchmarking, Pay Range Design, PMS Design, Competency Framework, Total Rewards Philosophy, and Workforce Analytics

Product Design for Platform Enhancements to minimize rate of erroneous submissions on the Listing portal for Vendors• Interviewed 30 vendors and benchmarked Amazon listing templates with 5 other marketplaces (Flipkart, Nykaa, Paytm) to identify & quantify pain points detected in bulk submissions & error resolutions to better understand gaps in comprehension, support system necessities , & bugs.• Analysed over 2.2 million data entries (SKUs) to quantify the impact of errors on SKU rejections as well as the attributes of the current Vendor Central listing template, the error report, and the user interface• Proposed a redesign of Listing template, reducing mandatory attributes with improved attribute definitions • Designed an integration plan with AI & chat assistance to optimize error reports to further reduce resolution time with AI auto-assisting mass upload entries. • Created wireframe mock-ups of new designs and re-designs chat bot integration, AI auto-assist of the listing template, error report, and UI

• Defined 6 task clusters covering 22 tasks & 24 KSAs describing the responsibilities of Associate role• Identified gap areas via needs assessment areas based on task criticality & required proficiency• Developed training modules on product delivery, customer collaboration, & communication, etc.• Calculated ROI of 160% over 3-month period & calculated effectiveness via the Phillips ROI model

• Analysed organizational activities during the Covid-19 pandemic & evaluated organizational changes undergone with the help of Cynefin framework• Designed a questionnaire to interview 5 stakeholders about the pandemic induced org. changes• Identified 6 types of transitions in 12 organizational variables across 6 periods from March 2020• Prepared a change communication plan regarding the training of 80%+ employees to develop competencies for a switch to a virtual workplace whenever necessary with a parallel on-site core team as to ensure the company is functional with 40% employees with WFH at any time.

• Analyzed over 4 million points of data about sales of 6 products in 5 regions and 3 marketplaces• Decreased query & pre-processing times by 15% & recommended high sale regions per product• Recommended future high selling regions for each product and highlighted attributes as to why each particular product will perform well in said region.• Redesigned prediction model to increase accuracy by 12.4% & created a visualization dashboard