Hi, I’m Jashan Sadioura
AI & Data Product Manager
I help businesses turn their enterprise data into AI products people actually trust — products that drive real business value and growth.
How I think about data
02 / about

I'm a product manager specializing in AI product development, data engineering, and enterprise data products. I turn complex data and AI capabilities into reliable products that solve real business problems.
I started in data analytics and moved through data quality, data governance, and data engineering into product management. That path shaped how I think about products: an analytics dashboard is only valuable if people trust the data behind it, and an AI product is only as reliable as the data, governance, and systems supporting it.
Today I'm building a QA automation agent that uses AI to automate data quality testing, test-case generation, and regression validation. I also work on AI-powered products and data automation — AI agents, enterprise chatbots, and intelligent workflows that turn organizational data into measurable business value.
I'm particularly interested in where product management, generative AI, AI agents, data products, and data governance meet — and in how companies move beyond AI experiments to build scalable products people actually use.
I write about AI product management, product development, data strategy, data quality, and enterprise AI, sharing practical lessons from building across data, technology, and product.
03 / capabilities
Data platform
AI data quality & governance
Analytics
Product
04 / work
05 / experience
Data Quality Analyst Lead
April 2024 — PresentData Radian Technologies · client: Fortune Brands · Hyderabad, India
- I led end-to-end validation and QA of enterprise data models, PRs, and production pipelines against core data quality dimensions — completeness, accuracy, consistency, uniqueness, and timeliness.
- I designed and standardized the organization's data quality operating model from the ground up — QA workflows, documentation standards, testing templates, and approval processes.
- I introduced standardized testing protocols to eliminate fragmented practices across teams.
Enabled seamless cross-team collaboration and resource interchangeability among data quality analysts.
- I established governance frameworks covering PII identification, source documentation, data ownership mapping, and usage governance.
- I led the migration of thousands of regression test cases from dbt-based testing to Snowflake Data Metric Functions.
Significantly improved scalability, reduced operational cost, and aligned the platform with modern cloud-native architecture.
- I automated enterprise regression testing to support continuous quality monitoring.
Reduced manual effort and enabled faster validation cycles.
- I built a centralized Tableau-based data quality product enabling real-time monitoring of production data quality metrics, regression outcomes, and business monitoring statistics.
- I managed a team of 6–7 data quality analysts while driving collaboration between engineering, analytics, governance, and business stakeholders.
Analytics Specialist (AERS)
May 2022 — March 2024Deloitte · Gurugram, India
- I owned end-to-end analytics delivery for Audit & Assurance engagements, working with large-scale financial datasets for reconciliation, validation, and audit analytics.
- I acted as analytics product owner for multiple audit use cases, translating requirements into scalable Tableau dashboards, VBA automation tools, and standardized analytics workflows.
- I designed and maintained custom Tableau dashboards across audit domains — revenue analytics, contract assets, unbilled revenue, click-rate-based revenue, and shipments & flights.
Improved audit efficiency and enabled full-population analysis instead of sample-based testing; surfaced anomalies and revenue-leakage patterns through interactive visual analytics.
- I built a VBA-based Trial Balance automation tool that ingests raw trial balance and chart of accounts data and generates a fully formatted, audit-ready output in seconds.
Reduced audit preparation time by ~90–95% — from multiple days to seconds — significantly improving engagement turnaround and analyst productivity.
- I led Tableau enablement and analytics upskilling initiatives, training new hires and increasing self-service analytics adoption across the practice.
Senior Product Analyst / Product Analyst
Jan 2020 — Apr 2022Smart Energy Water · Gurugram, India
- I led the full SDLC for multiple product initiatives — requirements discovery, PRDs/FRDs, user stories, UX collaboration, sprint execution, and UAT.
- As a core contributor to the Customer Analytics team, I designed and delivered Customer Journey Analytics in Power BI, providing visibility into app usage trends, drop-off points, and high-friction pages.
Insights led to targeted UX and feature optimizations, increasing user engagement, session time, and overall app adoption.
- I built Payment Score Analytics to classify customers by payment behavior — on-time, delayed, defaulting — and segment payment risk.
Enabled business teams to target high-value customers more effectively and design tailored plans for at-risk users, improving collection rates and retention.
- I drove the successful integration of digital payment services, aligning product capabilities with client and end-user needs.
06 / education
MBA in Marketing & Business Analytics
Thapar Institute of Engineering and Technology
B.E. in Computer Science
Thapar Institute of Engineering and Technology
07 / building
channel
Data Literacy for Leaders
A YouTube channel teaching non-technical executives to read, question, and govern their own data — covering governance, privacy compliance, and AI bias.
Visit →channel
Writing on AI & data products
Long-form notes on the work itself — AI product management, data strategy, data quality, and enterprise AI.
08 / publication
Selection of sub-optimal feature set of network data to implement Machine Learning models to develop an efficient NIDS
Published research on machine-learning-based intrusion detection.
