Description

Summary:

Product Owner specialising in data-intensive platforms across Fintech, Energy, Adtech, Media tech and Telecoms industries. Proven at translating complex business rules and feature requirements into front-end UIs, backend data pipelines via prioritised backlogs. Experienced in leading cross-functional teams to modernise legacy systems, improve data quality, and deliver reliable, high-impact data products in AWS-based ecosystems.

Project & Product Delivery Capabilities:

•Data platform delivery across ELT pipelines, cloud storage, and analytical data warehouses, supporting finance and operational reporting use cases.

•Strong data literacy, including SQL-based analysis, customer data modelling concepts, and data quality frameworks to ensure accuracy, consistency, and auditability.

•Product backlog ownership with clear prioritisation based on business value, risk, and delivery constraints.

•Authoring epics, user stories, and Gherkin acceptance criteria that translate complex data and finance requirements into build-ready work.

•End-to-end agile delivery across sprint planning, reviews, retrospectives, and backlog refinement within scaled and non-scaled environments.

•Stakeholder engagement across engineering, architecture, finance, and operations, aligning priorities through clear communication and evidence-based decision-making.

•Dependency, risk, and scope management maintaining delivery predictability in ambiguous environments.

•Practical use of product, delivery, and collaboration tools, including Jira, Confluence, Miro, Figma, Postman, Swagger, and observability platforms.

•Incident, change, and problem management within production customer data platforms, supporting operational stability and continuous improvement.

•Experienced in interpreting and defining API contracts to drive robust integrations across platforms. Strong command of XML and JSON formats for efficient data modelling, transformation, and validation.

Industry field of expertise

Languages

English
Native or bilingual

Workplace preferences

Can work on-site

Maidenhead (up to 50km)

IBM Skills Build
Artificial Intelligence (AI) Upskilling
EDUCATION AND E-LEARNING
January 2026 - March 2026 (2 months)
London, United Kingdom
The Intelligence behind AI
Machine Learning, Neural Networks and deep learning
AI forms and functions, and AI in the real world
Natural and artificial language processing
Computer vision and AI agents
artificial intelligence Cloud computing Data science Machine learning neural networks
Snowflake Academy
Professional Development and Upskilling
EDUCATION AND E-LEARNING
June 2025 - October 2025 (4 months)
London, United Kingdom
Create and scale a virtual Snowflake warehouse for compute resources for use in data queries and loading.
Implemented cost-efficient data management using zero-copy cloning for table creation and Snowflake Time Travel for safe recovery of deleted objects.
Ingested structured and semi-structured data from AWS S3, parsing XML and JSON arrays using Snowflake’s Flatten functionality.
Built and chained dynamic tables to deliver end-to-end automated data pipelines, transforming raw (Bronze) data into curated silver and gold layers in line with medallion architecture and data quality principles.
Applied Snowflake AI functions (Sentiment, Classify, Extract_Answer, Summarize_Agg) and semantic natural-language querying using Cortex Search and Cortex Analyst.
Snowflake artificial intelligence SQL medallion architecture PL/SQL
TP ICAP
Product Owner – Data Platforms (Accounts Receivable)
PRIVATE EQUITY
March 2024 - February 2025 (11 months)
London, UK
Owned the product backlog for a bespoke accounts receivable data platform, ingesting and normalising high-volume brokerage XML feeds into a finance-ready data model to support billing, reconciliation, and downstream reporting.
Reverse-engineered buy-side and sell-side data formats, defining business rules for data cleansing, enrichment, and transformation to ensure accurate, consistent, and auditable financial datasets.
Partnered closely with Architects, Data Engineers, Finance SMEs, and QA to translate complex accounting requirements into clear epics, user stories, and Gherkin acceptance criteria, improving requirements clarity and delivery predictability.
Drove data quality stability by introducing reconciliation benchmarks against legacy systems, increasing confidence in migrated financial outputs for revenue-critical billing processes. Delivered key billing capabilities, including Split Brokerage, Zero Brokerage, and Prior month Amendments, enabling more flexible commercial models.
Led cross-team dependency management and prioritisation within a SAFe environment, contributing to effective PI Planning and alignment across multiple data and finance workstreams.
SAFe Scrum Master Stakeholder Collaboration Business analysis Agile Project Management