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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in managing technical and data products, with a strong focus on APIs, data pipelines, and geospatial data platforms. Proven ability to collaborate across teams to enhance data quality and operational efficiency through innovative solutions.
Highest-signal resume keywords
Technical Product OwnershipData Pipeline ManagementAPI Development and ScalingGeospatial Data Platform ExperienceAI and Machine Learning Implementation
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data Pipeline DesignAPI ManagementData ClassificationData StandardisationMicroservices ArchitectureGeospatial Data ManagementData Quality ImprovementAgile MethodologiesCloud ArchitectureAnomaly Detection
Soft Skills
Cross-Functional CollaborationAnalytical Problem SolvingCommunication SkillsDependency ManagementIncremental Work Breakdown
Tools & Technologies
GIS TechnologiesGeoJSONSpatial DatabasesSaaS PlatformsEvent-Driven Architectures
Industry Keywords
Smart CitiesTransport TechnologyMobility SolutionsLocation-Based TechnologyData Operations
Tech Stack
Tools & technologiesCloudMicroservices
About the role
Key responsibilities & impact- Execute the product roadmap, backlog and priorities for the Hub Platform
- Partner with Engineering to implement the kerbside data model representing parking assets, geometry, restrictions, tariffs, rights, entitlements and operating rules consistently
- Define data classification and standardisation requirements with the Data team
- Own requirements for data pipelines covering ingestion, transformation, validation, reconciliation and publication
- Define and deliver scalable reusable platform capabilities and APIs
- Drive development and scaling of platform APIs, including contracts, capabilities, consumption patterns and priorities
- Identify opportunities for AI and machine learning in classification, anomaly detection, validation and conflict resolution
- Move Data Operations toward an exception-based operating model
- Work across Product, Engineering, Data, GIS, Commercial and Operations to manage requirements and dependencies
- Maintain a prioritised backlog balancing foundational platform work with consuming-product needs
- Define acceptance criteria, quality standards and success measures
- Communicate and support adoption of platform changes across consuming teams
- Reduce duplication and manual effort, improve data quality and enable scalable coverage and product offerings
Requirements
What you’ll need- 6+ years’ experience owning technical, platform or data products in an agile environment
- Proven ability to work closely with Engineering teams on complex, data-heavy systems
- Proven experience with a geospatial product, geospatial data platform or complex SaaS data platform
- Track record of owning technical products or platforms
- Working understanding of APIs, data models, data pipelines and microservices
- Experience designing or managing data pipelines, including ingestion, transformation, validation, reconciliation and distribution
- Experience with data classification, standardisation and data quality across multiple data sources
- Experience working with and scaling APIs and platform capabilities consumed by multiple products, customers or third parties
- Strong technical understanding of APIs, integrations, data models and modern cloud architectures
- Experience identifying and applying AI capabilities to improve functionality, automation, data quality or operational efficiency
- Strong communication and cross-functional collaboration skills
- Ability to break complex problems into clear scope and sequence work incrementally
- Strong analytical and structured problem-solving approach
- Experience managing dependencies across multiple teams
- Commercial awareness of shared platform capabilities
- Preferred: experience with GIS technologies, GeoJSON or spatial databases; complex kerbside, parking, transport or mobility rules; event-driven architectures; AI/ML for geospatial or data-quality problems; developer-facing products, APIs, SDKs or data services; SaaS, mobility, smart cities, transport or location-based technology environments
Benefits
Comp & perks- 25 days’ holiday plus all UK bank holidays, accruing additional holiday up to 30 days total
- Hybrid flexible working model: Thursdays in the Covent Garden office and work from home the rest of the week
- Work from Anywhere for up to a week at a time
- Share option scheme
- Enhanced company pension scheme provided by Royal London
- Annual Cost of Living exercise to help protect compensation
- Death in Service insurance cover
- GP consultations, nutritionists, dental advice and counselling on demand
- PerkBox perks, discounts, weekly freebies, cashback offers and discounted gym memberships
- Onsite barista coffee and cold beverages
- Choice of laptop (PC or Mac) and accessories
- Learning and development plan and growth framework
- Inclusive family leave options, nursing rooms, dedicated return-to-work support and Workplace Nursery savings
- Regular social events, group trips and activities