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Datatech

Data & AI Delivery Consultancy

Datatech Manchester
32 - 40 hour


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    Datatech

    Data & AI Delivery Consultancy

    Datatech Manchester
    32 - 40 hour
    Status Open
    Apply now

    Apply on the employer's website


    What we ask

    Education

    No minimum education required

    What we offer

    Hours
    32 to 40 hours per week
    Employment type
    permanent

    Job description

    Data & AI Delivery Consultant
    Manager Associate Director | Manchester (Hybrid)
    Competitive Salary + Bonus + Benefits

    Join a leading consulting and technology firm delivering large-scale Data and AI transformation programmes for major Financial Services organisations. Working with senior banking stakeholders, you'll lead complex programmes that turn data and AI strategies into measurable business outcomes.

    The Role

    * Lead end-to-end Data and AI transformation programmes
    * Manage cross-functional business and technology teams
    * Drive delivery, governance, implementation and remediation activities
    * Build trusted relationships with senior client stakeholders
    * Translate technical solutions into clear commercial outcomes

    About You

    You'll have:

    * Experience delivering large-scale Data, AI or Analytics transformation programmes
    * Strong programme leadership and stakeholder management skills
    * Banking or regulated Financial Services experience
    * Knowledge of modern cloud data platforms and AI technologies
    * Excellent consulting and communication skills

    Experience with **Azure, AWS, GCP, Databricks, Snowflake, Power BI, Python and SQL** is desirable, along with **Agile or SAFe** delivery and tools such as **Jira** and **Confluence**.

    Why Apply?

    Join a market-leading consultancy delivering high-profile Data and AI programmes for some of the UK's largest financial institutions, with excellent career progression and exposure to enterprise-scale transformation
    Apply now

    Apply on the employer's website

    Apply now

    Apply on the employer's website


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