Description
Data Engineering Product Owner
Working for a leading digital insurance company on an initial 6 month with the view to extend.
Role:
*As a full time member of a team, a TPM's purpose is to ensure the team delivers the technical capabilities that enable exceptional experiences that benefit both customers and the business (with the appropriate resource and investment). They ensure the team explores problem spaces, compare solution suitability, and iteratively move towards an identified outcome.
*TPM's typically have both internal and external customers. Internal teams include teams that consume their services (downstream dependencies), data governance, info-sec, and data analysis, etc
*TPMs are involved directly in all of the activities required to go from strategy, through ideation to delivery. This means owning the vision, managing the backlog, writing user stories, working with technical members of the team and being directly exposed to customers, with research, prototyping, experimentation, data analysis and testing.
*They provide leadership through empowering others, building influence, trust and an ability to operate as a peer across all of the disciplines represented across the team. They are involved in and prioritise all work the team are engaged in.
Responsibilities:
*Belonging to and empowering a multi disciplinary team that may include engineers, designers, SDETs, data governance, DevOps and SREs, data specialists, marketeers, and others to define solutions that provide the best possible route to an agreed customer outcome
*Analyse and break down requirements, and communicate these clearly to the team for delivery
*Create and manage the backlog with high quality stories that are up to date and prioritised in line with team objectives
*Continuous improvement and innovation to customer experiences (internal and external) and team processes
*High quality decisions within the team, through the appropriate use of data to inform the decisions
*Making effective trade off decisions between conflicting dynamics, eg. scalability vs running costs, caching and latency vs accuracy of data, tech debt vs speed to value, etc
*Solid knowledge of the various constraints of the business and tech stack - constraints from data governance, architectural approval, marketing, sales, service, finance, legal, and privacy are typical examples
*Deep knowledge of users and customers, and the data about how our customers engage with our products.
*Application of relevant lean approaches to experience development, through research, prototyping and experimentation
*Pro-actively identify and manage risk, issues and dependencies relating to the delivery of change
*Ensure that technical documentation and implementation details are accurately communicated throughout the relevant teams.
Experience Required:
*Highly influential. Lead through empowering others, influence and trust
*Understanding of modern, customer centric product and experience development approaches and techniques
*Understanding how to collect and use data that can drive effective decision making.
*Worked in a software engineering environment or has relevant prior experience to the domain. Has deep understanding of software development practices
*Practical experience of working in an agile fashion, recognising that agile is about continuous improvement