Data Product Manager at Adthena
London, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

04 Nov, 25

Salary

0.0

Posted On

05 Aug, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Competitive Analysis, Decision Making, Working Experience, Data Engineering, Market Research, Sql, Jira, Kanban, Analytics, Scrum

Industry

Information Technology/IT

Description

REQUIRED EXPERIENCE:

  • You are or have been a data-related product owner, data engineer, senior data analyst or data scientist
  • You have working experience with market research to understand and clearly articulate to the business a market opportunity, competitive analysis, or customer need or problem.
  • You have built business cases for new products/features supporting product decision-making within a business
  • Comfortable setting KPIs on product streams and working towards them as success metrics
  • Up to date with the latest GenAI tools and ways of working.
  • Demonstrable experience of working closely with data engineering or software engineering and architects’ teams to deliver a data engineering and/or instrumentation roadmap
  • Back-end experience with data platforms that manage a high transactional volume of data
  • Ability to own and deliver a data product roadmap
  • Ability to effectively communicate concepts, ideas and requirements to stakeholders at a similar level within organisations
  • Working knowledge of agile ways of working, like Scrum or Kanban, with tools like Jira
  • Knowledge of ETL processes and associated technologies
  • Experience writing basic Python, APIs, SQL and data analytics
Responsibilities

ABOUT THE ROLE

Reporting to: Vesela Dragusheva, Product Lead
Location: United Kingdom
Interviews: 4 stages, totalling around 2.5-3 hours over 2 weeks.
Start Date: ASAP
More info: See FAQ below, our candidate hub, or reach out to recruitment@adthena.com

WHAT YOU’LL DO AT ADTHENA

As a Product Manager for the Data and Data Science team, you will work closely with the business, customers and technology teams to understand the challenges that need solving and their priorities.
You’ll be responsible for owning the data team and Data Science backlog, as well as innovating new ideas to improve performance, accuracy and costs of Adthena data, the distributed ETL and the use of data science.

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