At a Glance
- Tasks: Lead the evolution of data architecture and platforms at a global bank.
- Company: Join a prestigious international bank based in London.
- Benefits: Competitive salary, standard benefits, and opportunities for professional growth.
- Other info: Dynamic role with a focus on collaboration and leadership in a multi-stakeholder environment.
- Why this job: Shape innovative data solutions and make a significant impact in the financial sector.
- Qualifications: Experience as a senior product owner with strong data architecture knowledge.
The predicted salary is between 150000 - 165000 £ per year.
An opportunity to join and help evolve a growing data function. Responsible for shaping the bank's data, platform product and architecture.
This is a London based role at a large global international bank.
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.
Accountabilities & Responsibilities
- Owns the product vision, roadmap, and backlog for the EMEA Data Platform.
- Lead and oversee the Data Architecture function, ensuring alignment between Data Architecture, Data Platform, and Data Products.
- 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.
- Define and implement a data product framework and product management operating model for data.
- 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.
- Own the EMEA Master & Reference Data Management strategy and operating model.
- 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.
The Successful Applicant
- Experience operating as a senior product owner in a multi‑stakeholder environment.
- Strong understanding of enterprise data architecture principles.
- Proven experience working with, or overseeing, Data Architecture teams.
- Ability to define product vision, roadmap and backlog for complex data platforms.
- Good understanding of project management principles relevant to data management.
- Exceptional ability to influence across business, data teams, IT/Engineering.
- Comfortable operating without direct authority over delivery teams.
- Experience collaborating with cross‑functional teams to identify, scope, and deliver solutions.
- Strong conflict resolution and alignment skills.
- Strong understanding of Data Platforms and architectures, Data products and Data Governance principles.
- Solid understanding of the full Software Development Lifecycle (SDLC) as relevant to data management.
- Understanding of ETL, data manipulation, and data preparation processes.
- An outstanding problem solver with an analytical mindset.
- Effective written and verbal communication skills.
- Knowledge of emerging trends and issues within the Data Management and MDM landscapes.
- Experience of working in the financial services industry.
- Experience of DataBricks and Informatica MDM.
- Experienced in a global organisation with dynamics of operating in a matrix structure.
- Experience working with cloud environments & components (e.g., on Microsoft Azure or equivalent).
What's on Offer
- Competitive salary ranging from £150,000 to £165,000 per annum.
- Standard benefits package to support your professional and personal needs.
- Permanent position based in London, offering stability and growth opportunities.
- Chance to work on innovative projects within the financial services industry.
Executive Director, Data Platform & Architecture in England employer: Page Personnel
Our client is an excellent employer, offering a supportive and collaborative culture that fosters employee growth and innovation within the Technology & Telecoms sector. With a hybrid working model and flexible hours, employees enjoy a healthy work-life balance while engaging with senior stakeholders and contributing to strategic initiatives. The company prioritises career development, providing opportunities for mentorship and progression, making it an ideal place for those seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Executive Director, Data Platform & Architecture in England
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Page Personnel!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Executive Director, Data Platform & Architecture at Page Personnel.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Page Personnel.
✨Apply Directly through Our Website
When you find a suitable opening like Executive Director, Data Platform & Architecture at Page Personnel, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Executive Director, Data Platform & Architecture 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!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Page Personnel, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Page Personnel. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Page Personnel
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Page Personnel!
✨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.
