Enterprise Data Manager in Bath

Enterprise Data Manager in Bath

Bath Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Wealthtime

At a Glance

  • Tasks: Lead the development of innovative data platforms and analytics tools.
  • Company: Join an award-winning investment platform with a collaborative culture.
  • Benefits: Enjoy competitive salary, hybrid working, generous holiday, and health benefits.
  • Other info: Opportunities for professional growth and a commitment to diversity and inclusion.
  • Why this job: Shape the future of data management in a dynamic, growth-focused environment.
  • Qualifications: Experience in data strategies, architecture, and modern data technologies required.

The predicted salary is between 63000 - 77000 £ per year.

Wealthtime is an award-winning investment platform that helps advisers deliver the best outcomes for their clients, bringing together smart technology and expert support. In the last year, we’ve taken bold steps to future-proof our proposition, entering a strategic partnership with Wipro and strengthening our relationship with GBST. This 10-year partnership guarantees automatic annual upgrades ensuring we’re always on the very latest technology, enhanced functionality, improved security, and regulatory resilience. With over £12 billion in assets under administration and a growing team of more than 100 professionals, we’re building something truly exceptional.

Our culture is driven by three core behaviours—Seek Opportunity, Nurture Each Other, and Simply Get Going—empowering our people to innovate, collaborate, and create meaningful impact every day. Wealthtime is part of Quanta group, a next-generation financial services Group, providing a full wealth management service through three core businesses – Wealthtime, Copia Capital Management and Craven Street Wealth.

About The Role: Group IT is a newly forming department following the creation of the Quanta Group and changes to the way services are provided to subsidiary companies. Group IT will provide Corporate IT services across all group companies and manage the IT service provision from third-party providers. This role will own the development of the Group’s data platforms — including data lake, data warehouse, and analytics tooling — with a strong emphasis on Microsoft Fabric and modern cloud-based data engineering practices. It will ensure data integrity, quality, lineage, and accessibility, enabling the business to derive meaningful insight and value from its data assets.

This is both a strategic and hands-on role: the Enterprise Data Manager will shape the roadmap, define the architecture, and also lead the technical build of the Group’s data warehouse and associated data pipelines. Working closely with technology, operations, and business stakeholders, the role will embed strong data governance, drive adoption of data standards, and support the development of a data-driven culture.

Key Responsibilities
  • Define the enterprise data strategy and multi-year roadmap aligned to Group objectives.
  • Establish the vision for data platforms, governance, architecture, and analytics capabilities.
  • Ensure data initiatives support regulatory, operational, and commercial priorities.
  • Design and own the enterprise data architecture, including data models, integration patterns, and platform design.
  • Establish and maintain data standards, taxonomies, and metadata frameworks.
  • Implement and lead data governance across the Group, including policies, controls, and stewardship models.
  • Define and monitor data quality rules, lineage, and integrity processes.
  • Own the Group’s data platforms, including lakes, warehouses, and analytics environments.
  • Lead the adoption and optimisation of Microsoft Fabric (or equivalent modern data-lakehouse tooling).
  • Partner with business teams to identify opportunities to leverage data for insight, automation, and improved decision making.
  • Ensure data platforms and processes meet regulatory and security requirements.
About You
  • Strong experience defining and delivering enterprise data strategies.
  • Experience with Wealth Management systems and data.
  • Deep understanding of data architecture, modelling, and governance frameworks.
  • Hands-on experience building data warehouses and data pipelines.
  • Strong knowledge of data integrity, quality tooling, and metadata management.
  • Ability to translate business needs into data solutions and actionable insights.
  • Strong organisational and stakeholder-management skills.

Wealthtime is an equal opportunities employer that places high value on a diverse and inclusive workplace. We recognise that people work in different ways, appreciate alternative viewpoints, celebrate individuality, and cultivate a culture where everyone can be their authentic selves at work. We are deeply committed to fostering a diverse workforce and welcome applications from individuals of all backgrounds, beliefs, cultures, gender identities, ethnicities, sexual orientations, abilities, and long-term health conditions.

Enterprise Data Manager in Bath employer: Wealthtime

Craven Street Wealth is an exceptional employer, offering a dynamic work environment where collaboration and innovation thrive. With a strong commitment to employee growth, we provide comprehensive training opportunities and flexible working patterns to accommodate diverse needs. Our offices across London and the South of England foster a culture of inclusivity and support, ensuring that every team member can contribute to delivering outstanding client service while enjoying a rewarding work-life balance.

Wealthtime

Contact Details:

Wealthtime Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Enterprise Data Manager in Bath

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 Wealthtime!

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 Enterprise Data Manager at Wealthtime.

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 Wealthtime.

Apply Directly through Our Website

When you find a suitable opening like Enterprise Data Manager at Wealthtime, 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 Enterprise Data Manager in Bath

Enterprise Data Strategy
Data Architecture
Data Governance
Data Modelling
Data Quality Management
Microsoft Fabric
Azure Data Lake

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 Wealthtime, 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 Wealthtime. 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 Wealthtime

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 Wealthtime!

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.