Data Product Manager

  • London
  • Full time
  • hybrid
  • Data Engineering Team

About the role

We’re looking for an experienced, smart and analytical person to be a Senior Product Manager for our Data Platform Team.  Leveraging data has been a key ingredient in Lendable’s success and will continue to be crucial in our future success!  We have 7 business lines, many internal consumers of our data and the need to continue to drive innovation, insights, competitive advantages and speed of decision leveraging data on our new data platform.  
The role requires you to be both strategic and delivery focused.  Which data drives the most lift to our core underwriting or consumer retention? How can we efficiently deliver this data to extract maximum value? What are the right tools and infrastructure we need to leverage this data and allow the users to iterate quickly on data driven decisions? How do we make this data continuous and repeatable? How do we ensure the quality of the data that drives decision making? How valuable is the data and what’s the ROI accounting for the cost of the data? How do we ensure the right level of governance of our data system whilst enabling analyst productivity?  
You will be working with MDs, PMs, analysts, data scientists, analytics engineers and data engineers to answer these questions and to implement the solutions. You will drive the roadmap for the data platform team, influence the roadmaps of our product vertical teams to ensure the best outcome and impact.  You own the day to day delivery of the DP team making trade off and prioritisation decisions that drive maximal impact and moves  us to the vision you will have painted for this team. We have some of the best engineers in the industry and we need you to help us showcase their talent to the world.

What you'll be doing

  • Develop the vision and roadmap and communicate this to the business; guide the data strategy across the organisation;
  • Gather requirements from product vertical teams and other stakeholders; scrutinise business value and impact of data solutions within Lendable; decide which initiatives will provide maximum value to the business and then deliver on them;
  • Market the data products built, make sure that there's awareness, and drive adoption to ensure the data platform delivers maximum value;
  • Develop foundational data principles to be adhered to, to ensure healthy growth;
  • improve the team’s ways of working and team efficiency to ensure optimal delivery efficiency and effectiveness; 
  • Design and monitor data platform customer/business facing KPI; and
  • Owning the OKR and OKR process for the Data Platform Team.
  • Triaging incidents, handling cross-team communication, and making adjustments to priorities;
  • Ensure compliance with relevant data protection and privacy regulations to safeguard data usage and enhance trust.
  • How you'll impact the product teams objectives

  • Leadership: as a product leader, you will drive the quarterly OKR process and do what it takes to deliver on them. You’re able to make tough decisions & trade offs - especially when faced with high ambiguity. You own these decisions but also course correct when needed. Through all this, you are always striving to build a High Performing Team and work with the team leadership to improve yourself, others and the team overall
  • Problem-solving; consistently breaking down complex business problems into bite-sized chunks. Complex tasks don’t intimidate you and you are able to break down a complex problem into parts
  • Data-driven; you have experience with numerical analysis with experience coding. 
  • Communication; you can communicate clearly and succinctly, orally and in writing; you enjoy a lively discussion. You effortlessly adjust your communication to suit your audience, from business owners to engineers. You don’t have a massive ego and you are happy to change your mind when presented with a good argument
  • Collaboration; you feel comfortable establishing close relationships with key stakeholders across the wider company allowing you to quickly assemble cross-functional teams for product delivery
  • Flexibility; the role will be broad and covers all aspects of data product management. Priorities can change quickly and you will spend time debugging smaller problems while also delivering major changes to our product
  • Working at speed; you make things happen. You are not afraid to roll up your sleeves and take responsibility for implementation and design decisions. You work at speed and enjoy a healthy dose of pressure
  • Process management; a solid understanding of the software development life cycle and how to ensure our products are working as intended for our internal customers
  • Agility; not just Agile (Scrum or Kanban would be nice) but adaptability to thrive in an unstructured, fast-moving and constantly evolving high-growth environment
  • What we're looking for

  • 5+ years of experience in a data role - analyst, analytics engineer, data engineer, machine learning, etc
  • 2+ years of experience in a product role
  • Interview process

  • A quick introduction call with someone from the Talent Team
  • A take-home exercise to complete in your own time 
  • Task debrief and interview with a senior product person (via video)
  • Final round culture interview with CPTO, data engineering team members