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    Senior Business Data Architect - London, United Kingdom - Great Lakes Insurance SE

    Great Lakes Insurance SE
    Great Lakes Insurance SE London, United Kingdom

    3 weeks ago

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    Description

    Together, we engage with everything we have and are, to help humankind act braver and better.

    About Great Lakes Insurance SE:

    As specialty provider of primary insurance services in the UK, Great Lakes London Branch (" GLLB ") is a substantial part of Great Lakes Insurance SE in Munich. Our interlocked business model is to seize opportunities closely connected to the reinsurance core business and innovation opportunities, in our role as an integral part of the Munich Re Group. Great Lakes Insurance SE operates from its headquarters in Munich, and via branch offices in UK, Ireland, Switzerland, Italy and Australia.

    Great Lakes Insurance UK Limited (" GLLS "), regulated by Prudential Regulation Authority and the Financial Conduct Authority, is a fully owned subsidiary of Great Lakes Insurance SE and acts as the preferred facilitator of agency insurance business in the UK in the post-Brexit world.

    About the role: Managing, analysing and taking decisions based on data is becoming more and more a key success factor for Great Lakes' business model. The Senior Business Data Architect will play a key role in implementing Great Lakes' data vision for the whole of the Great Lakes organisation. You will report into the Head of Data & Digital Transfer. You will work on a hybrid working model.

    Responsibilities:

    Working closely with the Business and IT Colleagues you will:

  • Further develop and execute GL's data vision/ strategy in alignment with GL Business/ IT strategy and Munich Re's/ GSI's data strategy.
  • Develop comprehensive GL data target landscape (integrating with GL Data Governance concepts) from a business standpoint.
  • Explore full potential of GL data for increased business benefit.
  • Represent GL in data related working groups on the GSI level.
  • Support GL Lakehouse PO and project team in creating strategically fitting data products.
  • Support GL Data Office in the implementation of DQ measures concepts and rollout of a data catalogue tool.
  • Develop data science capability for GL in close cooperation with the UW Oversight and other relevant business teams.
  • Liaise with GL's key stakeholders from MR business units and global functions as well as from selected third parties e.g.: MGAs, Broker Platforms, London Market.
  • Act as data steward in specific data domains.

    • Competencies:

    Strategic mindset (we think big) – you look, plan and move into the future with clear intentions and purposeful actions, seeking regular feedback, that allows you to make decisions today that will lead the business towards its future commitments.

    Ensures accountability (we lead the 'we') – you hold yourself and others accountable to take responsibility and meet commitments, creating a culture where people own their decisions and actions and appreciate how they contribute to the team/organisation commitments.

    Managing complexity (we grow with our clients) – you make sense of complex and sometimes contradictory information to effectively solve problems, learning and sharing along the way.

    Sponsors work (we care and dare) – you know when to lead and when to let others lead, providing direction and delegating to others, empowering and trusting them to achieve their commitments.

    Develops talent (we care and dare) – you develop the team to meet their career ambitions, building capability at an individual and organisational level, preparing them for future opportunities. You discuss feedback and development regularly and promote a diverse and inclusive workforce.

    Being resilient (we are clear and authentic) – setbacks are unavoidable; however, you recover quickly, seek feedback, learn and unlearn and move forward with courage and commitment.

    Experience:

  • Senior level experience in data architecture/ strategy/ target state data architecture development.
  • Familiarity with primary insurance business processes especially in the field of delegated authority and/ or single risk.
  • Business analysis/ requirements gathering.
  • Data modelling
  • Think strategically while still being implementation focused.
  • Familiarity with data flows/ basic functionalities of Munich Re global system landscape (EDWH, FAB, FS-RI, ...)
  • Familiarity with the main aspects of Munich Re technology stack (MS Azure, ADF, Informatica, Databricks, SQL, ...).
  • Good stakeholder management skills.
  • Strong communication skills (intercultural and interdisciplinary).
  • Independence, self-motivating and self-drivenness.
  • Deal with complexity, multiple tasks and competing priorities.

    • Qualifications and Educational Requirements:

  • Experience in data science.
  • Experience in or potential for (functional) leadership.
  • Good understanding of Data Governance concepts.
  • Familiarity with Data Catalogue tools and usage.
  • Experience with managing projects.

    • Thought Leaders:

    You are seen as an expert in your field and will be the 'go to' person for your area of specialism within Munich Re. You will be seen as a role model/mentor to others – identifying opportunities to share your knowledge with others.

    You will demonstrate and role model inclusive behaviour and encourage your colleagues to play an active role in creating an inclusive culture as well.

    You will treat your colleagues and sales and business partners fairly and with respect.

    Regulatory & Conduct Requirements:

    In addition to the responsibilities set out above, the Senior Business Data Architect role/function will also become responsible for:

  • Ensure compliance with Munich Re's Code of Conduct and the FCA Conduct Rules

    • Benefits

    You will be rewarded with a great compensation package, on target bonus, 25 days annual leave with the option to purchase more along with private medical insurance and employers' contributory pension of 10%.

    Munich Re is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all our employees.

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