At a Glance
- Tasks: Lead product management for data and oversee Data Architecture function.
- Company: Join a leading global bank shaping innovative data solutions.
- Benefits: Competitive salary, flexible working, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and high-performance team building.
- Why this job: Make a significant impact on the bank's data strategy and architecture.
- Qualifications: Experience in data architecture and product management required.
The predicted salary is between 70000 - 90000 £ per year.
Data Architecture and Platforms - Executive Director role leads product management for data, owning the enterprise data platform backlog, setting priorities and defining the features and capabilities required to deliver scalable high quality data solutions. In parallel, the role oversees the Data Architecture function with the Head of Data Architecture accountable for defining and implementing target state architectures and standards in line with the overall data strategy.
Responsibilities:
- Owns the product vision, roadmap, and backlog for the EMEA Data Platform.
- Lead and oversee the Data Architecture function, ensuring alignment to the overall data strategy.
- Ensure strong alignment between Data Architecture, Data Platform, and Data Products, driving consistency, scalability, and interoperability across the data estate through effective governance and adoption of enterprise standards.
- Defines and manage the EMEA Data Platform backlog, ensuring alignment to business priorities, regulatory requirements, and strategic data objectives.
- Accountable as the senior product owner for defining what is built and why.
- Establish and lead a structured intake and prioritisation framework.
- Chair prioritisation forums with business and IT stakeholders as well as senior management, ensuring transparency and discipline in trade-off decisions.
- Define and implement a data product framework and product management operating model for data, including standard definitions and taxonomy, ownership and accountability models, lifecycle management.
- Drive development of reusable, scalable data products aligned to business domains.
- Ensure Data products are discoverable, accessible, trusted and fit for purpose.
- Track delivery against roadmap and backlog holding IT accountable to agreed priorities, timelines and outcomes.
- Define and track product success metrics including adoption and usage of data platform focusing on value delivered not technical execution.
- Own the EMEA Master & Reference Data Management strategy and operating model including MRD adoption across systems, reporting and processes.
- Work with strategic programmes and the business to ensure adoption of MRD.
- Build effective relationships with the wider Data Office teams, Technology Teams, and Business Departments.
- Manage, coach, and mentor a variety of technical roles to create a high-performing delivery team.
Permanent opportunity to join and help evolve a growing data function. Responsible for shaping the bank's data, platform product and architecture.
Executive Director, Data Platform & Architecture (EMEA) in England employer: Page Executive
Join a dynamic food manufacturing business in Truro, Cornwall, where you will have the unique opportunity to shape the future of the organisation while driving growth and upholding its core values. Our collaborative work culture fosters innovation and excellence, providing ample opportunities for professional development and career advancement. With a commitment to nurturing high-performance teams, we offer a rewarding environment for leaders who are passionate about making a meaningful impact in the industry.
StudySmarter Expert Advice🤫
We think this is how you could land Executive Director, Data Platform & Architecture (EMEA) in England
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We think you need these skills to ace Executive Director, Data Platform & Architecture (EMEA) in England
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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✨Brush Up on Your Statistics
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✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
