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This role will report to the Director of Product Management, Data.

Why is this role so important?

The Data Product Manager bridges between the Platform Product Manager, focusing on the application layer, and the data products built to fuel it.

The Data PMs expertise in data, alongside their business acumen makes them the perfect product professional to identify and translate the business strategy into scalable data products that drive business value.

We are looking for a true data enthusiast, passionate about translating business requirements into data ones, building relationships as well as methodologies and processes, and taking ownership over complex data projects.

You will directly impact and steer the work of a team of engineers, data scientists and data analysts by guiding the collection, development and delivery of the data products they develop.

So, what will you be doing all day?

Your role as part of the Data Product Management team means your daily responsibilities may include:

Work with the Business, Strategy and Product leaders to unlock and understand both vision and direction – to then build a data roadmap that can support and boost it.
Meet with and interview clients and Account Executives, to understand users needs and pains, and design data products that solve these best.
Guide and steer the Data Teams (Data Scientists and Data Engineers) work, projects, priorities and execution – to deliver datasets that drive high impact, and address business, product and client needs and opportunities.
Lead the roadmap of the data supporting the different products and own the collection of needs, prioritization of opportunities and execution of the data deliverables.
Act as the owner and manager of all data acquired, generated and processed by the Data Team, to exhaust and leverage it – by the according products.
Define and solve the most challenging data collection, structuring, cleansing, modeling and serving challenges, to help Data, Product and Business teams make the best decisions on these.
Break down high level business questions into concrete and actionable data analyses, architecture designs and data requirements – working hands on on each.
Analyze and optimize data performance, coverage, diversity and quality processes
Work with different stakeholders across multiple products to enhance data adoption, improve data utilization and address contradicting and complementary needs that would impact how you build the companys data products.