Manager on Data Science team at Anthropic leading analytical strategies for B2B growth. Collaborating across teams to drive insights and metrics for a consumption - based AI platform.
About the role
- Data Science Product Manager responsible for leading development of Data Science roadmap focusing on business value driven Data Products. Collaborate with stakeholders and Data teams to deliver impactful solutions.
Responsibilities
- Manage and develop the roadmap for Data Science solutions, including insights, and data science models.
- Collaborate with stakeholders to identify and prioritise key business needs, understand competing demands, prioritise development on the strategically most important needs.
- Work closely with Data Scientists to develop requirements, set scope of projects, summarise specifications, and track delivery of projects.
- Participate with hands on scripting (SQL) in testing and validation from ideation to launch, to ensure that the analytical product is technically feasible, scalable, and meets stakeholder needs.
- Work closely with the Data team on ensuring data accuracy, and coordinate the Data Science team’s requirements of new data requests.
- Define measurable KPIs to track the success of launched analytical solutions, e.g. does it enable data-driven decision making, does it improve campaign performance, etc.
- Communicate product updates and progress to stakeholders and the team.
- Have an entrepreneurial mindset, take ownership and proactively seek and identify new opportunities where analytics can be applied to support growth and improvement.
- Identify opportunities to improve the team’s processes and workflows and set up best practices in conjunction with the wider Product & Portfolio team.
- Monitor the competitive landscape and industry trends to identify opportunities and stay up to date with the latest technologies and best practices.
Requirements
- Experience in product management and managing product backlogs in a Data Science environment.
- Track record of delivering impact in a fast-paced, data-driven and high-growth business environment and managing multiple priorities.
- Excellent communication and interpersonal skills, with the ability to effectively communicate to both technical and non-technical audience.
- Working knowledge of SQL is essential.
- Technical knowledge and understanding of data science concepts and models.
- Knowledge of Python or other statistical programming language (e.g., R, SAS) is a plus.
- Experience with BigQuery and Google Cloud Platform, and Tableau or other visualisation suites (e.g., PowerBI, Looker) is an advantage.
- Experience in Agile methodologies is a plus.
- You have a pragmatic, flexible attitude, you easily adapt to changes and can deal with ambiguity.
- Must be fluent in English with excellent oral and writing skills. A strong preference for additional European language capabilities.
Job title
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Degree requirement
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