Who am I?

A team player with the vision focused at driving innovation at the intersection of AI, Data Analytics & Product Leadership

I’m Robert Bayley, an Analytical Lead currently a Senior Product Manager who leads cross-functional teams to deliver data-driven products. I introduce new technologies, shape roadmaps, design strategies, manage stakeholders and align AI & analytics initiatives to company OKRs reducing manual work, improving data quality, and accelerating decision-making across a global focused organization .

Values / Work Ethic

I believe product leadership is about creating an environment where development teams thrive by exploring new technologies, collaborating openly, and turning strategy into measurable impact. This is where my passion lies: team management and product leadership. My focus is AI-first product thinking by using agentic AI, LLM-driven assistance, and ML-structured processes to automate work, elevate data quality, reduce friction, and deliver meaningful insights for business teams via prompting-analytics that are built on Hub-and-Spoke principles.

Beyond product delivery, I embed culture by creating on-boarding programs for new joiners, driving community initiatives, and making a environment that leads as a supportive, high-performing place to work.

Team enablement, stakeholder management, and Agile/Scrum vision mapping keep me focused on delivering value-measured analytical tools that help business teams make better, faster decisions.

Core Skills

- AI & ML Focused Product Design - Leadership & Team Mentoring - Prompting Analytics - Data Governance - Product Lifecycle - Roadmap Design and - KPI / OKR Alignment - Product Strategy Development - Prototyping Rollouts

Experience

Senior Product Manager - MediaMarkt Saturn (Barcelona) Nov 2023 – Present

Lead AI Analytics product strategy, aligning analytics programs to OKRs across 12 analytics products for all EU 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) Jul 2019 – Oct 2023

Owned innovation roadmap and strategy for ML and predictive analytics; managed a global client base of 45 accounts.
B2B SaaS model client management for all reporting products.
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.
Headed up the BI product model focused on SaaS clients.

Senior Data Analyst — LGC (London) Nov 2018 – Jun 2019

Established reporting, data governance, and data management standards across the organization.
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 testing 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.

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 aimed at improving governance, accelerating insight generation, and aligning teams to share OKRs accoutability through LLM integration that assists with KPI alignment and strategy governance.

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 missing data recommendations.

ML-Based Proposals for Data Gaps

Standardized Product Data Hierarchy

Challenge: Fragmented product attributes across countries hindered scalable optimization and data standardization for an ecomm retail set up.

Approach: Defined an aligned data hierarchy and synchronization processes spanning across all EU countries.

Impact: Improved ML feature consistency, richer PDP content, and faster cross-market roll outs. Inevitably increasing revenue across all Omnichannel touch points,

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.

Contact me

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.”