Senior Product Manager - Data and Insights
- Compensation
- Not disclosed
- Location
- London Office
- Work setup
- Hybrid
- Seniority
- Senior
- Employment
- Contract
- Experience
- 8+ years
- Category
- Product
- Posted
Skills
Must have
- Strong command of the modern data stack, including warehouses such as Snowflake, BigQuery or Databricks, transformation in dbt or an equivalent, the trade-offs between ETL and ELT, and the unit econom
- Direct experience with BI and serving tools such as Looker, Power BI, Tableau, Metabase or Hex, and the judgement to decide what belongs in the semantic layer rather than in individual reports.
- Hands-on background in the data domain, including pipelines built or managed first-hand and enough SQL to interrogate the warehouse without waiting on an analyst.
- Fluency in dimensional modelling and semantic layers, from defining a metric once and holding the organisation to that definition, through to reviewing data model designs, layering conventions and API
- Practical grasp of data quality engineering, including testing, lineage, freshness monitoring, and the design of data contracts between producers and consumers.
- Working knowledge of evaluation for machine learning features, including held-out eval sets, error asymmetry, confidence thresholds, drift monitoring in production, and the design of human-in-the-loop
- Sound understanding of UK GDPR as it applies to product decisions, including lawful basis, purpose limitation, special category data, and the aggregation thresholds that make cross-client analysis def
- Excellent written, verbal and presentation skills, including the ability to simplify a complex idea for a non-technical audience and to stay straight with people when the news is bad.
- A bias for action, with the appetite to lead a change in how the organisation uses data and to run the day-to-day detail that gets it there.
- Comfort working where the data model, the client requirement and the priority are all still moving, and the resilience to keep a team pointed at the outcome while they settle.
- High ambition, with the urgency to deliver a large roadmap at pace using AI and a positive, can-do attitude.
Full description
About Us
Plentific is a property technology platform used by housing providers, local authorities, housing associations, asset managers, and contractors across the UK and Germany to coordinate repairs, maintenance, and contractor workflows at scale. The platform combines a marketplace, workflow automation, and operational analytics, and is built to handle the volume and compliance demands of social housing, local authority property portfolios, and large-scale residential operations.
We are headquartered in London, with engineering and operations across the UK and Germany. Our investors include Highland Europe, Brookfield, Mubadala, RXR Digital Ventures, and Target Global.
We are growing the team to expand the platform's coverage across Europe and to integrate AI throughout the product and operating model. If you are interested in working on hard, real-world problems in a sector that has long been under-served by good software, we would like to hear from you.
The Role
Every repair, appointment, compliance certificate and invoice on the platform leaves data behind. We are hiring a Senior Product Manager, Data and Insights to own what we do with it. The remit covers the whole chain: the data model, pipelines and warehouse underneath, the reporting our clients use to run their portfolios, the datasets behind our AI features, and the features that act on what the data shows. That last part matters most. You will be measured on what changes as a result of the data, not on what it reports.
You will sit in the Product team and report to the Head of Product. You will work most closely with data engineering, analytics and data science, and with the product managers who own repairs, compliance and contractors. You will also spend time with the client-facing and operations teams, who work with this data daily and hear directly from clients about it. We expect you to use AI in your own work: prototyping with agentic tools, writing specs engineers can build from, testing model output against a real eval set, and knowing when a person needs to stay in the loop.
Key Responsibilities
Product Strategy and Commercial Ownership
- Own the direction and strategy for Plentific's data and insight products, from the internal data model through to what clients see.
- Align the data roadmap with Plentific's AI roadmap and commercial goals, judging each investment on the operational and financial return it earns.
- Grow the commercial value of data inside existing client relationships, through analytics tiers, data services and APIs for the housing providers and local authorities we already serve.
Client-Facing Analytics and Insight to Action
- Define the compliance, repairs performance and spend reporting that client organisations depend on to run their portfolios.