Product Management · Business Analytics

Rachmawaty Sudirman

10+ years delivering products and business impact through advanced analytics, AI, and large-scale digital transformation.

Loyalty Products & Analytics AI & Data Platforms Digital Transformation Agentic AI
rachmawatysudirman@gmail.com linkedin.com/in/rachmawaty-sudirman github.com/rachmawaty Massachusetts


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Career

Experience

2026
NASDAQ
MIT Product Management Lab
Strategic Product Manager
Financial Technology Intelligence Group
  • Designed product strategy for AI defensibility in SaaS, conducted competitive landscape research, proposed AI governance and AI agent-ready infrastructure roadmap to position the product line for scalable, compliant growth for an agentic economy era.
2025
CMA CGM
MIT Analytics Lab
Data Scientist
Information Technology and Data Science Group
  • Developed machine learning models for automated customer service email categorization, reducing the high cost of GenAI.
2017 – 2025
Telkomsel
Indonesia's largest telecom (160M+ subscribers)
Senior Product Manager
Loyalty Products and Platform · Business Solutions Management Group · 2023–2025
  • Owned end-to-end loyalty product and platform strategy serving 25M+ high-value customers, driving engagement, increasing benefit redemption to 10M annual transactions, and reducing churn through personalized retention programs.
  • Led cross-functional execution across 40+ engineers, data scientists, and business stakeholders, driving alignment, prioritization, and delivery of large-scale platform initiatives, improving user engagement and personalization relevance.
  • Directed migration of 9M+ users across systems, ensuring data integrity, platform scalability, and minimal service disruption.
  • Expanded partner ecosystem by onboarding strategic merchants via API integrations, increasing platform utility and diversifying loyalty benefits.
Technical (Data) Product Manager
Marketing Customer Analytics and Digital Channel · 2018–2023
  • Led 0→1 development of AI-powered Next Best Offer recommendation engine, enabling personalized targeting across 160M users and generating incremental annual revenue through improved conversion rates.
  • Led MyTelkomsel mobile app (iOS and Android) and web platform development, owning end-to-end features including telco loan products and Jaga Pulsa; grew MAU by 2 million in 6 months.
  • Built and scaled an in-house Customer Data Platform (CDP), enabling near real-time campaign triggers, self-service segmentation, and activation, improving marketing ROI and responsiveness of customer engagement systems.
  • Owned product strategy for petabyte-scale data platforms, integrating behavioral data, ML models, and marketing systems into 300+ multidimensional customer data dimensions, contributing to ~60% of core revenue.
  • Partnered with 25+ data science and analytics teams to productionize ML models and executive dashboards for pricing and portfolio performance, enabling comprehensive competitive and decision intelligence.
  • Reduced go-to-market cycle from 3 days to 1 day by standardizing product development and reporting workflows.
Associate Product Manager
Customer Products and Experience · 2017–2018
  • Conducted customer research and data analysis to identify product opportunities and improve user experience across telecom products and services.
  • Delivered insights and recommendations that improved customer journeys and increased Net Promoter Score (NPS).
2013 – 2017
Lapi Divusi ITB · Prelo
Data Management & IT Consultant · Software Engineer
  • Designed and implemented data warehouses, backend platforms, and digital transformation across healthcare and energy sectors.
  • Designed and developed an e-commerce database system and API backend service.

Academic Background

Education

🏛️
MIT Sloan School of Management, US
Master of Business Administration
Certificate in Product Management, Business Analytics and Sustainability
🎓
University of Manchester, UK
MSc Advanced Computer Science and IT Management (Information Management)
Thesis: Integrating Linked Open City Data
⚙️
Bandung Institute of Technology, Indonesia
BSc Informatics Engineering
Thesis: Mobile Application Development for Cacao Pests and Diseases Diagnosis

Capabilities

Skills

Technical
SQL Python Data Visualization Machine Learning AI Agents
Product
Product Management Product Strategy 0→1 Development Roadmapping
Domain
Customer Analytics Loyalty & Retention Data Platforms Digital Transformation
Interests
AI & Agentic Systems Formula 1 Badminton Travel

Recognition

Awards

🏆
Telkomsel InnoXtion Winner Business Process Category
🥇
Telkomsel × BCG HVC Churn Analytics Winner High-Value Customer Analytics
🎖️
Best Master's Research Poster BCSWomen Lovelace Colloquium, UK
🎓
LPDP Scholarship Awardee Indonesia Endowment Fund for Education for Postgraduate Degree
🎓
Telkomsel Scholarship Awardee Corporate Scholarship Grant

Selected Work

Portfolio

Nearbeat
Product · Decision Intelligence

A personal sustainable decision intelligence engine — ask a decision question and a multi-agent pipeline scores it across five dimensions (Financial, Health, Environmental, Time, Well-being) and returns a recommendation with visible reasoning.

Agentic AI Next.js · Supabase Decision Intelligence
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CeritaMBA
Content · Community

Helping MBA applicants navigate their application journey. Sharing my own MBA journeys, tips, and experiences through social media.

Community Building Content Strategy Education
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Shortlist
Product · Job Tracker

A job application tracker that helps you manage your job search — track applications, store resumes, and stay organized across every stage of the hiring process.

TypeScript · React PostgreSQL Job Search
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Showroom Catalog
Client Work · Showroom Platform

A full showroom platform built for a colleague's motorcycle business — a public product catalog for buyers, plus a backend for stock opname (inventory tracking) and auto-generated Instagram/TikTok posts.

Next.js · Drizzle Inventory Management Social Automation
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Agent Reality Lab
Research · Multi-Agent Systems

Can a multi-agent system learn to simulate, predict, and evaluate real human decision behavior from observed interaction data? An ongoing research project using the OTTO e-commerce recommender dataset as real-world ground truth.

Multi-Agent Systems Behavioral Modeling Research
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