Techno-Functional Manager – Field Digital Transformation, Data & AI

The Role

• Act as the bridge between business and technology across several retail divisions
• Own digital products, analytics, customer data and AI end to end
• Understand business needs, shape solutions, and make sure they are delivered and actually used
• Build solutions hands-on or lead vendor teams and interns
• Combine the roles of Business Analyst, Product Owner, Project Manager, Data & BI Lead and AI builder
• Work comfortably across stores, boardrooms and tech reviews

Key Responsibilities

• Techno-Functional Manager – Field Digital Transformation, Data & AI: Own field-facing digital products end to end to raise sales-force productivity
• Delivery: Run roadmap and sprint execution for predictable, high-quality releases
• Platform Health: Keep platforms stable and fast, with fresh data and a reliable user experience
• BI & Analytics: Build leadership dashboards and KPIs that give trusted, actionable insights
• AI & Innovation: Design and build GenAI and agentic solutions that automate work and add business value
• Data Governance: Ensure data quality, privacy and compliance for customer master data

How Success Is Measured

• Active users %, retention and field CSAT
• Roadmap adherence, sprint predictability and production defects
• Uptime, load time and data freshness
• On-time dashboard delivery, dashboard usage and manual reports retired
• PoC-to-production conversion and measured business impact
• Reconciliation accuracy and compliance adherence

Key Interfaces

• External: Technology vendors, implementation partners, product and platform partners, consulting agencies
• Internal: Business teams, sales and field force, marketing, IT and digital, BI and analytics, information security, PMO and leadership, data governance and privacy teams

Why Join Us

• Wide scope across products, data, customer master data and AI in several divisions
• Own a business-critical platform used daily by sales teams across India
• Direct visibility with CXO-level leadership
• Build AI that real users adopt, not just presentations
• A fast-track path to larger digital product and AI leadership roles

Ideal Candidate

• A high-potential techno-functional professional who bridges business and technology
• Understands application architecture, data and GenAI well enough to design solutions and challenge partners
• Can personally build AI prototypes and connect with field teams to drive adoption

Education & Qualifications

• B.E./B.Tech in Computer Science, IT, Data Science or a related discipline (MCA or equivalent also considered)
• MBA in Sales, Marketing, Systems or Analytics preferred

Experience

• 3–10 years across Product/Project Management, Business Analysis, BI & Analytics, Software Development or Digital Transformation
• Proven delivery of web/mobile applications with development teams, ideally including vendor management
• Hands-on experience building AI/ML or GenAI solutions; production deployment is a strong plus
• Retail, consumer or Sales Force Automation (SFA) exposure preferred

Must-have Skills

• Data & BI: SQL, Data Modeling, Data Warehousing, Tableau, Power BI
• AI & GenAI: Python, Generative AI, Large Language Models (LLM), Prompt Engineering, RAG, AI Agents
• Customer Master Data: Master Data Management, Data Quality, Data Governance, deduplication
• Application & Cloud: AWS, REST APIs, ReactJS, Node.js, Mobile app releases
• Delivery: Agile / Scrum, Product Management, Business Analysis, Requirements Management, UAT, Jira, Confluence
• Functional: Retail sales KPIs (target vs achievement, footfall, conversion, ATV, UPT, LFL growth)

Nice-to-have Skills

• Data: dbt, Datastage, Airflow, AWS Glue, Google Analytics (GA4), Mixpanel, CleverTap
• MDM/CDP tools: Informatica, Reltio, SAP MDG, Salesforce Data Cloud
• AI: LangChain / LangGraph, CrewAI, Amazon Bedrock, Azure OpenAI, vector databases, machine learning
• Engineering: Microservices, serverless, CI/CD
• Other: Figma; CSPO/PSPO, PMP, CSM, Tableau or AWS certifications; DPDP Act; CRM / SFA platforms

Behavioural Competencies

• Clear communication and storytelling with data, from the store floor to the boardroom
• Stakeholder management and influencing without authority
• Ownership, bias for action and comfort with ambiguity
• Empathy and a field-user-first mindset
• Analytical, data-driven decision making
• Continuous learning and an innovation mindset

Other Requirements

• Languages: Professional fluency in English and Hindi; knowledge of other Indian regional languages is good to have
• Travel: Willingness to travel to stores, field teams and regional offices as needed