Senior Product Manager · AI & Data
Davi Mattar
Senior Product Manager | AI/Data-Driven Growth Specialist
10+ years shipping products fast. 5.7M+ users impacted.
By the numbers
📊 Product impact at a glance
Outcomes across all roles: the headline numbers and quick stats that tell the story at a glance.
Total Users Impacted
0.0M
Questrade 600K + Emana 500K + MGM 4.6M
Monthly Revenue Lifted
$0K+
MGM Rewards A/B testing program
Annual Cost Savings
$0K+
Support chatbot + affiliate vetting
⚡ Quick stats
- 10+
- Years in Product
- 5
- Companies
- 30+
- Team Members Led
- 25+
- A/B Tests Run
- 3
- Countries Worked In
- 20+
- Startups Mentored
Career timeline
🧭 My work life, milestone by milestone
From founding a startup accelerator to leading MarTech at Hyatt. Here is the path, with the key milestones from each role.
Hyatt2026 – Present
Senior MarTech Product Manager
Chicago, USA
Leading MarTech modernization: Landing Page CMS, AI-powered SEO automation, and the AEM → AWS migration.
- Shipped Landing Page CMS prototype in 7 days (was 3 months)
- AI SEO automation: 200+ city pages, ~$12.6M run-rate
- AEM → AWS migration: zero downtime, $1M+/yr saved
- 100% marketer adoption in 2 weeks, NPS +68
Questrade2022 – 2026
Senior AI Product Manager
Toronto, Canada
Built an enterprise GenAI platform powering 12 AI products for 300K+ clients.
- Launched 12 AI products on a shared GenAI platform
- Cut support costs $358K/year with agentic chatbot
- Supported $20B+ in assets under administration
- Aligned 30+ cross-functional stakeholders
MGM Resorts2021 – 2022
Product Manager, MGM Rewards
Las Vegas, USA
Led conversion optimization on the MGM Rewards app across 4.6M monthly visits.
- Drove +$165K/month in incremental revenue
- Ran 25+ A/B tests (booking URL, price display)
- Optimized an app driving $23M+ monthly revenue
Natura & Co2020 – 2021
Product Manager, Emana Pay
São Paulo, Brazil
Owned the fintech onboarding experience for Emana Pay, a banking app serving 500K+ users.
- Reduced KYC drop-off from 23% to 16%
- Grew platform to 500K+ users, 1.5M monthly transactions
- Enabled R$1B+ in total value transferred
- BeeStart2013 – 2020
Co-Founder & Product Manager
Belo Horizonte, Brazil
Co-founded a startup accelerator and software house, shipping 100+ products and mentoring founders.
- Founded BeeStart accelerator & software house
- Delivered 100+ startup projects across 7 years
- 20% of mentored startups raised seed funding
- Scaled team to 15 employees
Approach
My PM Framework: Zero → Prod
A six-step method I use across product, growth, platform, fintech and AI work, from the first problem statement to measured impact. Each step ships a concrete artifact.
- 1Clarify the opportunity
- 2Define users & stakeholders
- 3Validate the problem
- 4Architect the solution
- 5Prioritize & roadmap
- 6Execute & measure
- ✓Prod
- Step 1
Clarify the opportunity
Define what you are solving and why it matters now: the core problem, who is affected, the urgency, and the constraints (budget, timeline, regulations).
Output: One clear problem statement + 1 primary success metric + key constraints.
- Step 2
Define users & stakeholders
Map direct users, business stakeholders, technical owners and dependent teams. Note the KPI each group cares about, so conflicts come up before execution.
Output: Stakeholder map + success metrics per group.
- Step 3
Validate the problem
Back assumptions with evidence: user interviews, analytics, support tickets, error logs, and market signals. Quantify what we're losing by not solving this today.
Output: 2–3 prioritized pain points + supporting data.
- Step 4
Architect the solution
Design in layers: Core/MVP, Scaled, Ecosystem/Integration, Technical, and Operations/Governance. Solve 80% of the problem with 20% of the effort first.
Output: Multi-layered architecture + ownership + technical risks.
- Step 5
Prioritize & roadmap
Sequence into Phase 1 (MVP), Phase 2 (Expand), Phase 3+ (Scale/Ops). Learn fastest by experimenting first; respect legal, team-capacity, and business deadlines.
Output: Phased roadmap with dependencies, owners, and go/no-go criteria.
- Step 6
Execute & measure
Ship, then track primary, secondary, and guardrail metrics against baseline. Connect outcomes to business impact and run the learn → hypothesis → action loop.
Output: Live product + validated metrics + learning agenda for next phase.
What I've delivered
🧩 Product Cases
Click a project to explore my problem-solving approach, execution, and impact.
Showing 3 of 26 case studies
Toolbox
🛠️ Tools & tech stack
Product craft, design and hands-on engineering. The full toolbox.
How discovery, prioritization, and delivery actually get run.
- Jira
- Confluence
- Miro
- Agile (Scrum / Kanban)
- RICE Prioritization
- A/B Testing
- Google Analytics
- Adobe Analytics
- Product Discovery
- Google Design Sprint
- Lovable
- Claude
From journey maps to clickable prototypes before a line of code.
- Figma
- InVision
- Canva
- Adobe Creative Suite
- User Journey Mapping
- Prototyping
Hands-on enough to build, evaluate, and ship AI systems.
- GitHub
- Python
- TensorFlow
- Scikit-learn
- LangChain
- LangGraph
- LangSmith
- Vertex AI
- GCP
- AWS
- n8n
- Node.js
- React / React Native
- Flutter
- GraphQL
- MongoDB
- Firebase / Firestore
- Elasticsearch
- Docker
- Cursor
- Power BI
- Tableau