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Data Product Manager
2 months ago
We are seeking a highly skilled Data Product Manager to join our newly formed Pricing Optimisation team at Policy Expert. As a critical member of our team, you will play a key role in delivering data products and machine learning models to develop market-leading pricing strategies that support our ambitious growth plans.
Key Responsibilities- Work closely with stakeholders to define the overall vision and roadmap for data products, ensuring alignment with the company's strategic objectives.
- Balance short-term needs and long-term projects, prioritising initiatives based on business impact, feasibility, and resource availability.
- Oversee the lifecycle of data product development from ideation through deployment and maintenance, working with the Delivery Manager to ensure initiatives are delivered and their impact communicated to the wider business.
- Act as the liaison between data scientists, machine learning engineers, data engineers, and business teams to ensure clear communication and alignment.
- Work with business units to gather requirements and understand their pain points to translate them into data product features with measurable KPIs.
- Write clear and concise product specifications, including user stories and acceptance criteria, for the data team to follow.
- Regularly review performance metrics and user feedback to continuously optimise and improve data products.
- Facilitate user testing sessions and collect user feedback to ensure data products meet user needs and business objectives.
Coordinate with relevant teams to provide training and support to end-users, ensuring they can effectively use the data products. Maintain comprehensive documentation for all data products, including user guides, technical specifications, and best practices.
Data Quality Standards and ComplianceEstablish and maintain high standards for data quality, consistency, and reliability. Ensure that data products comply with relevant regulations and policies, and that data privacy and security standards are upheld.
Requirements- A passion for data, and while you don't need a technical background, you are comfortable discussing data science and machine learning concepts, tools, and processes with technical people, as well as translating these concepts into business language.
- A strong track record in data product development in technical cross-functional teams.
- Experience of managing the full lifecycle of a data product from ideation, delivery, maintenance, and continual improvement.
- A data-driven approach in how you build product insights to shape decisions, and you are comfortable deriving these insights through SQL queries, dashboarding tools, etc.
We offer a range of benefits, including flexible working hours, a learning budget of £1,000 a year for books, training courses, and conferences, private medical cover with Vitality, dental insurance, travel season ticket loan, social events throughout the year, access to selected London O2 events and use of a Private Lounge, and an Employee Wellbeing Programme.
About UsWe are a company that values diversity and inclusion, and we are committed to creating an inclusive environment for all people to do the best work of their lives with us. We are proud to be an equal opportunities employer and welcome applications from all qualified candidates.