Tejas M

Product Manager

Dubai, United Arab Emirates4 yrs 3 mos experience

AI EnabledAI ML Practitioner

Key Highlights

Reduced ETL runtimes by 45% at Accenture.
Transitioned from data engineering to product management.
Conducting user research to define product problems.

Stackforce AI infers this person is a Data-Driven Product Manager with a strong background in Data Engineering and User Research.

Contact

Skills

Core Skills

Product ManagementSocial Impact CommunicationData Engineering

Other Skills

User ResearchSocial Media EngagementDigital AdvocacyCommunity OutreachNon-profit MarketingExtract, Transform, Load (ETL)SQLETLClassificationStreamlitRegression ModelsStatisticsProbabilityNumPyPandas (Software)

About

I spent 2+ years building data pipelines at Accenture. I was good at it — reducing ETL runtimes by 45%, translating business logic into SQL models, mentoring junior analysts. But something was missing. I kept asking: 𝗪𝗵𝘆 are we building this ? 𝗪𝗵𝗼 uses it ? What 𝗽𝗿𝗼𝗯𝗹𝗲𝗺 does it actually solve ? That curiosity led me to Product Management. Today, I'm a 𝗣𝗠 𝗥𝗲𝘀𝗶𝗱𝗲𝗻𝘁 𝗮𝘁 𝗣𝗿𝗼𝗱𝘂𝗰𝘁𝗛𝗼𝗼𝗱 𝗦𝗰𝗵𝗼𝗼𝗹, working on real product initiatives. I'm learning to define problems before jumping to solutions, validate assumptions through user research, and think in outcomes — not just outputs. My data engineering background isn't baggage. It's my 𝘀𝘂𝗽𝗲𝗿𝗽𝗼𝘄𝗲𝗿. I understand technical feasibility, how systems work, and how to use data to drive decisions. I document my PM journey publicly — the wins, the mistakes, the feedback that humbles me. 📍 Dubai | Open to PM roles Let's connect — I love talking about product, career transitions, and building in public. 📂 View my PM portfolio → https://bit.ly/4scdQAn

Experience

4 yrs 3 mos

Total Experience

2 yrs 3 mos

Average Tenure

1 yr 11 mos

Current Experience

Producthood school

Product Management Resident

Feb 2026 – Present · 3 mos · Dubai, United Arab Emirates · Remote

Working as a PM Resident on Interviewhood, an AI-powered platform for job seekers, under the mentorship of Lokesh Gupta (Founder, ProductHood).
Conducting user pain point research for job seekers - identified and prioritized 10+ pain points using MoSCoW framework to guide product focus
Leading problem space exploration for core user problem, mapping user segments, scenarios, root causes, and triggers using structured Who/What/Why/When/Where framework
Collaborating with founder on weekly product reviews, iterating problem definitions from broad concepts to specific, measurable pain points
Documenting PM learning journey publicly on LinkedIn, sharing insights on problem-first thinking and iterative product development

Product ManagementUser Research

Shop for change fair trade

Social Media Engagement Volunteer

Jun 2025 – Jan 2026 · 7 mos · Remote

Contributed 61 volunteer hours to support Shop For Change Fair Trade’s mission of empowering rural and tribal communities across India through fair pricing and ethical sourcing.
Helped save approximately ₹30,500 in outreach and promotional effort by driving organic engagement and visibility for the NGO’s initiatives across social media platforms.
Amplified campaign messages by consistently engaging, sharing, and interacting with content across Instagram and LinkedIn, reaching diverse audiences and increasing awareness for fair-trade products.
Collaborated with a volunteer network to improve community participation and support sustainable livelihoods for farmers and artisans.
Developed an understanding of impact communication, social storytelling, and nonprofit marketing while working with mission-driven teams.
Skills: Social Media Engagement, Digital Advocacy, Social Impact Communication, Community Outreach, Non-profit Marketing.

Social Media EngagementDigital AdvocacySocial Impact CommunicationCommunity OutreachNon-profit Marketing

Career break

Personal goal pursuit

Jun 2024 – Present · 1 yr 11 mos

I utilized this period to upskill and reposition my career from core data engineering toward analytics, product, and business-focused roles:
Aspire Institute – Leadership Program: training in personal leadership, communication, impact creation, and community-driven problem solving
McKinsey Forward Program: structured thinking, MECE problem solving, stakeholder management, digital & agile foundations
NYU Tisch – Business of Entertainment: business strategy, consumer insights, and creative industry economics
Learning & projects in Data Science, AI/ML, and Product Management (SQL, Python, NLP, analytics, product discovery)
Volunteer – Shop for Change Fair Trade: social media engagement supporting ethical sourcing & rural livelihoods
Preparation for transition into analytics / consulting / product-oriented roles
This phase helped me evolve from a technical executor to a business-aware problem solver combining data, strategy, and user impact.

Accenture

2 roles

Data Engineering, Management & Governance Analyst

Mar 2024 – Jun 2024 · 3 mos · Bengaluru

Migrated enterprise-scale data assets from HANA → Snowflake, converting legacy code to DBT and SQL workflows.
Reduced pipeline processing time by 22–35 % by designing optimized ETL patterns.
Developed scalable data models supporting analytics needs for global business stakeholders.
Collaborated with cross-functional teams to translate business requirements into technical designs.
Mentored new analysts on Snowflake best practices, supporting team capability building.

Extract, Transform, Load (ETL)SQLData Engineering

Data Engineering, Management & Governance Associate

Feb 2022 – Mar 2024 · 2 yrs 1 mo · Bengaluru

Built & optimized ETL pipelines supporting business-critical dashboards and reporting systems.
Supported the migration of legacy systems to modern cloud platforms, ensuring seamless delivery.
Improved data accuracy through rigorous QA and validation, improving trust in insights delivered.
Worked with distributed teams to resolve production issues, ensuring high availability.

Extract, Transform, Load (ETL)SQLData Engineering

Adops engineer

Project Intern

May 2020 – Jul 2020 · 2 mos · Bengaluru

I was responsible for setting up services written in Python to connect with Adobe AWS cloud service and perform operations which contributed immensely to the clients S3 log reporting module.
Utilized the Boto3 SDK in Python to download and process logs for complex reporting.
I had the opportunity to learn about key SAAS solutions like DMPs (Data Management Platforms) and CDPs (Customer Data Platforms).