Data Product Owner - London, United Kingdom - Eden Smith Group

    Eden Smith Group
    Eden Smith Group London, United Kingdom

    2 weeks ago

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    Description

    Job Description

    Data Platform Product Manager

    London, hybrid, 2 days per week in office.

    Due to an exciting period of growth for our client, an excellent opportunity has arisen for an experienced Data Product Manager/Owner, to join an established and well-known organisation within the legal sector.

    Main Duties and Responsibilities:


    • Be a data visionary. Champion, educate and innovate.


    • Define and execute the roadmap & backlog for data platforms in your domain/remit, to support the business vision and KPIs.


    • Manage all Data & BI demand and prioritisation balancing business benefits, technology needs and complexity/risk to achieve. Contribute to the wider data strategy and vision.


    • Have accountability for the end-to-end delivery of data platform enhancements and transformations. Plan and execute to time. Effectively manage dependencies, risks, issues and resources (internal or external). Find solutions to problems.


    • Be accountable for the quality of data and platforms releases, balancing quality vs speed


    • Deeply analyze data sources to understand gaps and ensure quality standards are kept


    • Provide a constant stream of high-quality requirements (epics, stories) with clear acceptance criteria in a timely fashion


    • Manage and work with 3rd party products and services that integrate in the Platforms


    • Contribute to improving data standards and quality controls

    Person Specification:


    • Highly organised with ability to multi-task many demands and workstreams in parallel


    • Passionate about business processes, applications and technologies


    • Provides thought leadership in the a specialist business domain (e.g. Research)


    • Constructively challenges convention and seeks new ways of achieving better results


    • Demonstrates sound and pragmatic judgement, balancing pace, risk and business value to reach decisions and deliver solutions


    • Demonstrable passion for emerging technologies and trends


    • Understands and champions agile ways of working


    • Is Customer and data centric in approach
    • Proactive self-starter who continuously seeks ways to improve


    • Analytical mind-set, with passion for identifying issues and understanding 'why'; able to turn findings into actions Skills and Experience:
    • Significant experience as a data business partner / manager / product owner / data analyst or technical business analyst.

    Skills and Experience:


    • Significant experience as a data business partner / manager / product owner / data analyst or technical business analyst in a data platform domain


    • Be an experienced subject matter expert within the data platform domain, with strong technical knowledge and demonstrable passion, including understanding on (some of):

    o Data lakes, data marts, data warehousing (Azure Data Bricks, Azure Data Factory, Azure Synapse, HD Insight) o SQL, NoSQL and Graph databases o Processing structured and unstructured data, data models, single customer view o Enterprise Data Modelling o Data schemas and knowledge of schema methods (YAML, XML, etc) o Data visualization tools e.g. Tableau, QlikView, Looker, MS PowerBI o Data science, machine learning & AI o Data compliance standards and regulations: PII, GDPR, CCPA, etc o Experience of handling PII datasets and operationalising DSAR o Experience of ETL processes and governance o Appropriate use of data cleansing techniques and tools


    • Demonstrable experience creating and managing backlogs to meet strategic objectives


    • Articulate, able to create concise requirements, epics, stories with clear acceptance criteria


    • Effective understanding of business and product priorities, adapting recommendations/opportunities to meet that strategy. Prioritisation skills to handle fast paced dynamic environment


    • Data literate, understanding how data can be structured and manipulated to enhance the customer proposition


    • Technically astute, with a good knowledge of engineering processes and frameworks. Able to constructively challenge at a technical design level. Demonstrates self-development in this area.


    • Professional experience in troubleshooting, operating or developing data-driven applications connected to relational databases, XML sources, web services, flat file, and data driven backend systems


    • Experience operating within data mgmt. and governance processes