Data Product Manager

at  Lendable

ABOUT LENDABLE

Lendable is on a mission to make consumer finance amazing: faster, cheaper and friendlier.

We’re building one of the world’s leading fintech companies and are off to a strong start:
One of the UK’s newest unicorns with a team of just over 400 people
Among the fastest-growing tech companies in the UK
Profitable since 2017
Backed by top investors including Balderton Capital and Goldman Sachs
Loved by customers with the best reviews in the market (4.9 across 10,000s of reviews on Trustpilot)
So far, we’ve rebuilt the Big Three consumer finance products from scratch: loans, credit cards and car finance. We get money into our customers’ hands in minutes instead of days.
We’re growing fast, and there’s a lot more to do: we’re going after the two biggest Western markets (UK and US) where trillions worth of financial products are held by big banks with dated systems and painful processes.

JOIN US IF YOU WANT TO

Take ownership across a broad remit. You are trusted to make decisions that drive a material impact on the direction and success of Lendable from day 1
Work in small teams of exceptional people, who are relentlessly resourceful to solve problems and find smarter solutions than the status quo
Build the best technology in-house, using new data sources, machine learning and AI to make machines do the heavy lifting
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.

• 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.