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For Companies At a Glance
- Tasks: Lead the Data Platform, turning strategy into impactful data solutions.
- Company: Join a forward-thinking investment management firm focused on data innovation.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Why this job: Shape the future of data and AI in a dynamic environment.
- Qualifications: Experience in product ownership and understanding of cloud technologies required.
- Other info: Collaborative culture with a focus on continuous improvement and innovation.
The predicted salary is between 36000 - 60000 ÂŁ per year.
As a Product Owner for the Data Platform, you will play a pivotal role in delivering 7IM’s Data & AI Strategy, translating strategic aims around Data Architecture & Quality, Data Governance, and Data Security & Privacy into tangible outcomes. The Data Platform is a core enterprise capability, supplying value across the organisation, from operational applications and analytics to financial reporting and governance. You will champion data-driven decision‑making, ensure robust governance, and help deliver a scalable, secure, and innovative platform that provides a single, trusted view of data and the flexibility to support safe, explainable AI. Acting as the link between Data Architecture, Governance, Security, and delivery Squads, you will ensure the platform continually evolves, enabling faster, safer, and smarter data for the whole business. In short, this role turns strategy into delivery, making data at 7IM secure, compliant, and genuinely useful across every product, service, and decision.
Responsibilities
- Become a deep subject matter expert for the Data Platform at 7IM, understand the different data sets and how these join together to provide expert advice to stakeholders across the 7IM group on all data matters. Using this knowledge make high quality judgement calls on both the work to be done and the prioritisation of deliveries.
- Own and prioritise the Product Backlog ensuring appropriate trade‑offs are made as required and well communicated across all stakeholders.
- Translate requirements into clear user stories and acceptance criteria.
- Shape and prioritise the evolution of the Data Platform architecture — ensuring services, pipelines, and curation layers are designed for reuse, scalability, and semantic consistency.
- Maximise value delivered in each sprint, ensuring alignment with quarterly goals and the overall Data Platform strategic vision.
- Ensure all deliveries are in line with the 7IM Data Platform principles.
- Represent the Data Platform within the Data & AI Strategy Steering Group, ensuring all backlog items support data quality, lineage, and audit readiness.
- Define and track Platform success metrics, adoption, governance compliance, cost efficiency, and self‑service enablement.
- Own roadmap items for Information Lifecycle Management (ILM) and Data Catalogue integration.
- Ensure data quality, lineage, security, and governance considerations are constantly at the forefront of what we do.
Stakeholder Engagement & Communication
- Act as the voice of data transformation for the Adviser Platform, engaging with stakeholders across technology, data, compliance, and business teams.
- Foster a shared vision for a modern, cloud‑based, data‑centric platform, ensuring requirements and priorities are well understood.
- Work closely with Data Governance and Security & Privacy leads to align data classification, access philosophy, and cyber controls across the Platform and on‑prem environments.
- Communicate complex technical and governance concepts in clear, plain language that drives shared understanding and trust.
- Drive the iterative development of the Data Platform’s layered architecture, refining data from raw ingestion through curated and semantic layers, ensuring each step increases business value and trust.
- Drive continuous simplification, turning complicated architecture and governance patterns into accessible, reusable capabilities for Squads and Business teams.
- Champion a culture of experimentation, continuous improvement, and learning; leveraging cloud and data innovations to solve business challenges.
- Support the adoption of advanced analytics, AI/ML, and self‑service data capabilities for internal and external users.
- Ensure all data used for AI and advanced analytics is certified, lineage‑traced, and bias‑checked; support implementation of the Green/Amber/Red AI approval model.
Operational Excellence
- Monitor and report on platform performance, scalability, and data KPIs, supporting evolution of the Data Platform strategic vision.
- Manage coexistence with legacy data stores, applying consistent governance, quality, and migration plans to achieve parity across cloud and on‑prem environments.
- Ensure adherence to compliance standards, data privacy, and best practices in cloud and data management.
Other
- Support product launches, training, and change management as new data and cloud features are delivered.
- Manage key supplier relationships relevant to data services.
- Adherence to all applicable compliance standards and best practices at all times.
- Acting consistently in accordance with the 7IM VPVs.
- Other, as reasonably required by your line manager and 7IM.
About You
Qualifications
- Proven experience as a Product Owner (or similar) in data transformation, cloud migration, or data platform modernisation projects.
- Understanding of cloud technologies (Azure) and Data Platform architectures (e.g., Databricks, Azure Data Factory, Fabric).
- Familiarity with data governance, data quality frameworks, and regulatory requirements (e.g., GDPR, FCA).
- Product Owner certification (e.g., CSPO, PSPO) is an advantage.
- Experience in the wealth and investment management industry, ideally with Adviser Platforms is desirable.
Skills
- Strong analytical and data‑driven mindset; able to translate business needs into technical data requirements.
- Able to operate fluently across architecture, governance, and engineering: connecting technical design with business strategy.
- Systemic thinker who sees data, process, people, and risk as one integrated ecosystem.
- Balances innovation with compliance, ensuring data and AI capabilities are safe, explainable, and aligned with 7IM’s values.
- Experience working with cross‑functional squads (engineering, data, cloud, business) using Agile methodologies (Scrum, Kanban).
- Excellent communication and stakeholder management skills, with the ability to influence at all levels.
- Comfortable with data modelling, data pipelines, and cloud‑native product development.
- Passion for innovation, experimentation, and continuous improvement in data and technology.
Other relevant information
- Passionate around solving business problems through innovation and engineering.
- Must embrace a culture of experimentation and continuous improvement and learning.
- Excellent working knowledge of Product Life Cycles and the role of product management and governance within that cycle.
This role will report to the Head of Platform Product.
Product Owner (Data & AI) in London employer: Seven Investment Management LLP
Contact Detail:
Seven Investment Management LLP Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Product Owner (Data & AI) in London
✨Tip Number 1
Network like a pro! Get out there and connect with people in the industry. Attend meetups, webinars, or even just grab a coffee with someone who works at 7IM. Building relationships can open doors that a CV just can't.
✨Tip Number 2
Show off your skills! If you’ve got a portfolio or any projects related to data platforms or AI, make sure to share them. A hands-on demonstration of what you can do speaks volumes more than just words on a page.
✨Tip Number 3
Prepare for the interview by understanding 7IM’s Data & AI Strategy inside out. Be ready to discuss how you can contribute to their goals around data governance and security. Tailor your answers to show you’re the perfect fit for their vision.
✨Tip Number 4
Don’t forget to follow up! After an interview, shoot a quick thank-you email to express your appreciation. It keeps you fresh in their minds and shows your enthusiasm for the role. Plus, it’s just good manners!
We think you need these skills to ace Product Owner (Data & AI) in London
Some tips for your application 🫡
Know Your Stuff: Before you start writing, make sure you understand the role inside out. Dive into the job description and get familiar with the key responsibilities and skills. This will help you tailor your application to show how you fit the bill.
Be Clear and Concise: When you're crafting your application, keep it straightforward. Use clear language and avoid jargon unless it's relevant. We want to see your personality shine through, so don’t be afraid to let your voice come across!
Showcase Your Experience: Highlight your relevant experience and achievements that align with the role. Use specific examples to demonstrate how you've tackled similar challenges in the past. This is your chance to show us what you can bring to the table!
Apply Through Our Website: Make sure to submit your application through our website. It’s the best way for us to keep track of your application and ensures you’re considered for the role. Plus, it’s super easy to do!
How to prepare for a job interview at Seven Investment Management LLP
✨Know Your Data Inside Out
As a Product Owner for the Data Platform, it's crucial to become a deep subject matter expert. Familiarise yourself with the different data sets and how they interconnect. This knowledge will help you make informed decisions and provide valuable insights during your interview.
✨Master User Stories and Acceptance Criteria
Be prepared to discuss how you translate requirements into clear user stories and acceptance criteria. Bring examples from your past experience where you've successfully prioritised a product backlog and communicated trade-offs effectively to stakeholders.
✨Communicate Complex Concepts Simply
You’ll need to convey complex technical and governance concepts in plain language. Practice explaining these ideas clearly and concisely, as this will demonstrate your ability to engage with diverse stakeholders and foster a shared vision for the Data Platform.
✨Showcase Your Agile Experience
Since the role involves working with cross-functional squads using Agile methodologies, be ready to share specific examples of how you've applied Scrum or Kanban in previous projects. Highlight your experience in balancing innovation with compliance to ensure safe and explainable data capabilities.
