Technical Product Manager (Transitioning) | AI Product Management | 10+ Years BFSI Data Engineering | Bengaluru

Bengaluru, Karnataka, India

Bengaluru, Karnataka, India


Bangalore







Master of Science - MS, Computer Software Engineering
Birla Institute of Technology and Science, Pilani

BCA, Computer Programming, Specific Applications
Vijaya College, Bengaluru
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Download Tal BossTechnical Product Manager (Transitioning) | AI Product Management | 10+ Years BFSI Data Engineering | Bengaluru
I spent 10+ years turning raw data into decisions. Now I'm focused on deciding what gets built next. Most product managers come from design or business backgrounds. I come from the data layer and that fundamentally changes how I approach AI products. Over a decade in BFSI, I built data warehouses on Teradata and Redshift, designed ETL pipelines, and translated enterprise data into Tableau and Power BI dashboards that executives used to set budgets and priorities. I didn't just write SQL. I sat in the rooms where those numbers drove strategy. That's where I first understood what product thinking really is: start with the decision someone needs to make, then build backward. I'm now making a deliberate move into AI Product Management. Not because data wasn't enough but because I kept asking a question data alone couldn't answer: What should we build, and why? Today at Utilitarian Labs, I'm leading product discovery and roadmap definition for a plug-and-play analytics suite running user research, writing PRDs, prioritising using RICE, and designing reusable templates to cut client time-to-value from months to weeks. I've also shipped three independent product case studies: a reinvestment nudge PRD for a fintech platform (Stable Money), a personalised course recommendation spec for an EdTech product, and Worry Time an AI mental wellness Android app built on the Gemini API, scoped using CBT research. What I bring to Technical PM and AI PM roles: 10+ years of cross-functional collaboration across data, engineering, and business teams Deep understanding of data pipelines, model evaluation, and scale-related product constraints Hands-on with SQL, ETL, Redshift, Tableau, LLM applications, RAG, and prompt engineering Systems thinking that connects backend data decisions to user-facing product outcomes I document this transition publicly at @anguvasan on Instagram and YouTube, sharing what I'm learning and how a data engineer thinks about product differently. If you're building AI-native products in fintech or BFSI and need a Technical PM who can read a model eval as easily as a PRD, let's connect.
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Analytics Team Lead at Utilitarian Labs, Apr 2025 - Present · 1 yr 6 mos, Bengaluru, Karnataka, India, Leading end-to-end product discovery and roadmap ownership for a plug-and-play Tableau analytics suite targeting real estate CEOs, directors, and sales heads currently in active discovery phase conducting user interviews across real estate companies and auditing previously built dashboards to identify patterns and gaps. Conducting user interviews and stakeholder workshops to surface pain points in dashboard delivery timelines; translating findings into journey maps, PRDs, and interactive Figma prototypes to align clients on product direction before development begins. Built an AI-powered BRD automation pipeline using n8n connected to Microsoft Teams to transcribe client meetings, feed transcripts into an in-house RAG system, and auto-generate draft BRDs to company standards delivered directly to the team's mailbox. Reduced BRD revision cycles from 3+ rounds to 1-2 and cut client review time significantly. Defined and diagnosed a job-ageing problem for a recruitment client in-dependently scoped aging buckets (30/60/90+ days) to surface stalled pipeline; dashboard adopted as a daily decision tool by the CEO, CTO, department leads, and individual recruiters to track performance and backlog. Identified a lead distribution bottleneck for an EdTech client causing slow enrolments — scoped and delivered an automated lead bucketing system in Salesforce CRM, improving pre-sales response time and giving the financial head real-time visibility into pending fee collections. Leading a cross-functional team of 2 analytics engineers, 1 UX designer, and 2 CRM developers — owning requirements gathering, BRD/PRD writing, Figma mockup design, stakeholder presentations, and delivery oversight across all client engagements. Worked closely with clients and stakeholders to gather requirements, understand business objectives, and define meaningful KPIs. Translated business requirements into scalable BI solutions by designing and developing dashboards in Power BI and Tableau.
Analytics Consultant at Self-Employed, Aug 2019 - Feb 2025 · 5 yrs 7 mos, Bengaluru, Karnataka, India, Independently scoped and delivered analytics products across 6 clients in e-commerce, hospitality, marketing, and B2B SaaS. Took each engagement from problem discovery through requirement definition, solution design, and client sign-off, adjusting scope to fit client budget without compromising on outcomes. Challenged an e-commerce client's original brief (inventory-only reporting) by demonstrating the value of including marketing spend and sales performance data. Expanded scope to cover order fulfilment, returns, traffic sources, and ad ROI, enabling leadership to make connected decisions across stock, marketing, and acquisition. Defined 100+ KPIs independently for Valyouu Digital's marketing analytics suite, presenting each metric to the CEO and directors with a clear explanation of what business question it answered. Dashboards became the primary decision tool for budget allocation and channel strategy. Diagnosed a manual reporting problem for a B2B SaaS client where weekly Excel reports from multiple disconnected sources were taking a full working day. Delivered a Power BI solution consolidating all sources into a single pipeline, reducing the task from a full day to 10-15 minutes. Delivered a live operations dashboard for a restaurant chain covering marketing spend, stock management, expiring inventory, and revenue vs expense, replacing periodic manual reviews with real-time visibility. Retained by Valyouu Digital as a subcontractor after the initial engagement based on delivery quality and business impact. Managed a subcontractor for 2 years, reviewing output and ensuring dashboards met acceptance criteria before every client handover.
Lead Data Analyst at Wipro, Dec 2016 - Jul 2019 · 2 yrs 8 mos, ▸ Owned end-to-end delivery of analytics products: translated business problems into technical specs and user stories for a team of 8+, from requirement workshops through production deployment. ▸ Acted as Scrum Master — planned sprints, facilitated Agile ceremonies, wrote and maintained the product backlog; standardised sprint rituals improving team velocity. ▸ Ran stakeholder requirement workshops with senior business leaders to validate scope, align product direction, and manage expectations across cross-functional teams. ▸ Designed Power BI dashboards used by senior leadership for strategic decision-making — effectively acting as the internal BI product manager. ▸ Led migration of legacy on-premise data systems to AWS RDS and Big Data platforms, enabling real-time analytics and significantly improving scalability. ▸ Mentored junior data engineers; established SQL, ETL, and data documentation best practices across the team.
Data Engineer at Wipro, Oct 2012 - Nov 2016 · 4 yrs 2 mos, Bangalore, I worked on the Core Banking system which helped me a lot to understand the domain knowledge and help me in setting a career path for me and most of them whom I worked with as rookies in that Account. Design database applications, such as interfaces, data transfer mechanisms, global temporary tables, data partitions, and function-based indexes to enable efficient access of the generic database structure. Develop data models for applications, metadata tables, views or related database structures. Document and communicate database schemas, using accepted notations. Provide technical support to the testing team or clients. Test changes to database applications or systems. Identify and correct deviations from database development standards.
Master of Science - MS, Computer Software Engineering, Birla Institute of Technology and Science, Pilani
BCA, Computer Programming, Specific Applications, Vijaya College, Bengaluru
github: https://github.com/kavasanau
youtube.com: https://youtube.com/@anguvasan
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