Driving innovation at the intersection of AI, Data Analytics & Product Leadership
I’m Robert Bayley, a Senior Product Manager who leads cross-functional teams to deliver data-driven products. I introduce new technologies, shape roadmaps, and align AI & analytics initiatives to OKRs—reducing manual work, improving data quality, and accelerating decision-making across 11+ countries.
About
I believe leadership is about creating an environment where development teams thrive—exploring new technologies, collaborating openly, and turning strategy into measurable impact. My focus is on AI-first product thinking: using ML and automation to elevate data quality, reduce friction, and deliver meaningful insights for the business.
Beyond product delivery, I help embed culture: onboarding programs for new joiners, community initiatives, and ways to make the tech hub a supportive, high-performing place to work.
Core Skills
Experience
Senior Product Manager — MediaMarktSaturn (Barcelona & Tenerife — Remote) Nov 2023 – Present
- Lead AI Analytics product strategy, aligning analytics programs to OKRs across 12 analytics products and 11 countries.
- Integrate ML-based proposals to streamline data architecture and reduce manual effort across product data management.
- Build and manage the product development lifecycle: discovery, prototyping, and multi-country rollouts.
- Introduce Prompting Analytics with a centralized model and layered LLM (Gemini) to consolidate KPIs and dashboards into a one-stop analytics hub.
- Standardize data structures to improve ML model performance and content quality across touchpoints.
Product Manager — Advito (Barcelona — Remote) Jul 2019 – Oct 2023
- Owned innovation roadmap for ML and predictive analytics; managed a global client base of ~45 accounts.
- Transformed stakeholder needs into detailed user stories/specifications and coordinated cross-team delivery.
- Prioritized roadmaps and minimized cross-product feature overlap through collaboration with other PMs.
Senior Data Analyst — LGC (London) Nov 2018 – Jun 2019
- Established reporting, data governance, and data management standards across the enterprise.
- Developed APIs and data collection strategies to improve data quality and statistical efficiency.
- Led international reporting streams across EMEA, APAC, LATAM, EGS/India, and oversaw UAT/regression for dashboards.
BI Systems Consultant — Wells Fargo (London) Aug 2016 – Oct 2018
- Owned analysis and delivery across data warehouse architecture and dashboard design.
- Automated internal processes and contributed to technology procurement and asset lifecycle streamlining.
Leadership & Delivery Approach
- People-first leadership: enable dev teams through clarity, trust and iterative delivery.
- AI-first roadmaps: prioritize ML automation where it reduces toil and lifts data quality.
- Stakeholder translation: convert complex needs into feasible technical solutions.
- Governance & standardization: scalable models, clean KPIs, and shared definitions.
- Impact tracking: dashboards connected to OKRs to evidence outcomes, not just outputs.
Toolbox
GenAI (Gemini), ML proposals, dashboarding, API design, data modeling, agile delivery, roadmap planning, cross-country rollouts.
Case Studies
Prompting Analytics Hub
Challenge: Disparate dashboards and KPI ownership slowed decision-making across regions.
Approach: Built a centralized data model and layered LLM (Gemini) to normalize KPI definitions, benchmark performance, and surface insights via a single interface.
Impact: A one-stop analytics hub improved governance, accelerated insight generation, and aligned teams to shared OKRs.
ML-Based Proposals for Data Gaps
Challenge: Manual data enrichment slowed product content accuracy and UX consistency.
Approach: Introduced ML proposals to suggest missing attributes, with human-in-the-loop review to continuously improve models.
Impact: Significant reduction in manual effort; higher data accuracy and better model performance for downstream recommendations.
Standardized Product Data Hierarchy
Challenge: Fragmented product attributes across countries hindered scalable optimization.
Approach: Defined an aligned data hierarchy and synchronization processes spanning 11+ countries.
Impact: Improved ML feature consistency, richer PDP content, and faster cross-market rollouts.
Global Client Portfolio (Travel Analytics)
Challenge: Diverse client needs required scalable predictive analytics and clear roadmap focus.
Approach: Managed ~45 clients, coordinated features to avoid duplication, documented user stories & specs to speed delivery.
Impact: Higher roadmap velocity with stronger stakeholder satisfaction and adoption.
CV & Credentials
Education
Engineering Diploma — Computer Engineering
Damelin College, South Africa — Top 5 in class with ~92% average.
Certifications
- CSPO — Certified Scrum Product Owner
Interests
Music production (featured on BBC Radio, KROQ, Radio X), surfing, skating.
Download CV
You can download a recent copy of my CV below.
(If the link isn’t active yet, the file is still being uploaded.)
Contact
Available for senior product leadership roles and AI/analytics strategy engagements.
Email: bayleyrs@gmail.com
LinkedIn: linkedin.com/in/robertbayley
Location: London / Barcelona / Tenerife (Remote-friendly)
Quick Pitch
I lead with clarity and creativity, enabling teams to ship AI-powered analytics that matter. If you’re scaling analytics across markets, or want to bring GenAI into your data stack with governance and impact—let’s talk.