Senior Product Owner (Data Analytics and Machine Learning)

Are you an experienced Product Owner with a passion for data science and machine learning? This contract role offers a unique chance to make a significant impact on a high-profile public sector transportation and payment project. The position involves reviewing and improving an existing Data Science model, refining proposed architecture, and documenting CI/CD processes for machine learning models. This is a 2 year contract at circa £600 to £630 a day (Inside IR35). Hybrid working from London office and is a well funded public sector programme

The successful candidate will build and manage a backlog of activities, lead a development team to build out the solution, and ensure the model is fully tested and operational by the expected date. The role involves a comprehensive review of existing data science models, proposing architectural improvements, and documenting CI/CD processes for machine learning models.

The ability to balance competing tasks and demands, ensuring a consistent flow of requirements for development teams, is essential. Effective communication skills are crucial, as the role requires translating complex technical concepts for non-technical stakeholders, defining and prioritising features, and collecting story requirements and acceptance criteria.

Strong stakeholder management skills are necessary, with the ability to engage and nurture multiple teams and stakeholders, providing prioritisation and efficient responses to avoid delays in delivery.

The ideal candidate will be adept at managing conflicts, negotiating scope and prioritisation, and collaborating with technical roles to identify and solve problems. Risk management skills are essential, with the ability to identify product-related risks, propose mitigations, and manage these decisions effectively.

A minimum of three years of senior Product Owner experience on projects of similar size and scale is required, along with technical experience in implementing data and analytics systems using the Azure tech stack.

Excellent organisational skills are also a must, ensuring features and stories are prepared and streamed to optimise delivery flow.

This role offers the chance to work on a transformative project, leveraging your expertise to drive significant advancements in data science and machine learning.