Job Title : Industry Solutions Leader - Retail.

Employment Type : Full-Time.

Experience : 10+ Years.

Industry Focus : Retail.

Position Summary:

- We are seeking an accomplished Industry Solutions Leader - Retail to drive the development and adoption of innovative AI and Analytics solutions

- This role sits at the intersection of industry expertise, advanced analytics, and client engagement, helping Retail organizations unlock value from their data assets and accelerate digital transformation.

- The Industry Solutions Leader will be responsible for conceptualizing, designing, and commercializing Retail-specific AI and analytics use cases - ranging from customer behaviour and sales performance analytics to merchandising optimization, pricing intelligence, inventory management, and supply chain efficiency.

- A critical part of the role involves partnering with our sales and client success teams to support business development cycles, shape client solution roadmaps, and serve as a trusted advisor to C-level stakeholders across Retail, eCommerce, and Consumer Goods organizations.

Responsibilities:

Client Engagement & Pre-Sales:.

- Participate in discovery sessions with prospective clients to understand business challenges, current operations, and data maturity.

- Collaborate with sales and solution architects to define business use cases, target outcomes, and solution scope.

- Conduct competitive and market research to inform solution design and positioning.

- Support creation and delivery of client-facing presentations, demos, and proof-of-concept plans.

Develop pre-sales collateral including:.

- Client problem statements and tailored value propositions.

- Functional requirement outlines.

- Workflow/process maps and high-level solution blueprints.

-Contributions to RFPs/RFIs, SOWs, and proposals.

Project Delivery & Execution:.

- Translate client business requirements into clear user stories and functional specifications for technical teams.

- Collaborate with data engineers, data scientists, and visualization experts to design data pipelines, analytical models, and dashboards tailored to retail use cases such as customer segmentation, demand forecasting, and sales analytics.

- Lead or support requirement workshops, stakeholder interviews, backlog grooming, and sprint reviews.

- Validate analytical outputs against business needs through UAT and client feedback sessions.

- Manage documentation including BRDs, wireframes, data dictionaries, test cases, and SOPs.

Industry & Domain Expertise:.

- Bring deep Retail domain knowledge in areas such as Customer Analytics, Merchandising, Pricing, Store Operations, Supply Chain, and Financial Planning.

- Work with common Retail and eCommerce data assets - including POS, CRM, inventory, logistics, loyalty, and digital engagement data.

- Stay current with emerging Retail analytics trends such as AI-driven personalization, dynamic pricing, omnichannel analytics, and demand sensing.

Required Experience:

- Bachelor's degree in Retail Management, Business, Computer Science, or a related field.

- 10+ years of experience in business analysis, solutioning, or consulting roles supporting Retail clients - ideally at a consulting, analytics, or digital transformation firm.

- Strong understanding of the data & analytics lifecycle (from ingestion to insight) and ability to bridge business needs with technical solutions.

- Proven experience contributing to pre-sales deliverables, proposals, and solution design workshops.

- Hands-on experience with tools such as SQL, Excel, Power BI/Tableau, and familiarity with modern data platforms like Snowflake and Databricks.