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For Companies At a Glance
- Tasks: Lead the bank's data and systems integration for strategic decision-making and operational performance.
- Company: Join a leading bank focused on innovation and regulatory excellence in financial services.
- Benefits: Enjoy a 4-day work week, hybrid working options, and opportunities for professional growth.
- Why this job: Be part of a transformative role that shapes data culture and drives impactful insights.
- Qualifications: Significant experience in enterprise data strategy and governance within regulated environments required.
- Other info: Onsite presence needed during induction; flexible working thereafter.
The predicted salary is between 72000 - 108000 £ per year.
A leading Bank is seeking a Head of Enterprise Data & System Integration on a permanent basis. This role will operate on a 4 day working week basis and you will need to attend the Kent office at least twice a week. You will be needed onsite full time during the induction period.
The Role
- Build and lead a bank-wide data and systems integration function to deliver a trusted single source of truth for internal (operational performance, strategic decisions), external (including client interactions/campaigns, regulatory, financial, and impact), and stakeholder reporting.
- Build the data capability and architecture to support high-quality insight, strategic decision-making, client engagement, business performance, and risk management.
- Drive up maturity in data quality, culture, and accountability.
- Align systems and data flows to enable efficient operations, scalable data access, and innovation across the organization.
Experience Required:
- Significant experience in leading enterprise data strategy, system integration, and governance within a regulated environment - ideally financial services.
- Proven track record of delivering scalable data platforms and tools that support operational and analytical use cases.
- Involvement in implementing or transitioning to Data Mesh or federated data ownership models.
- Experience in managing, mentoring, or building a cross-functional data team.
- Experience in using data to drive deeper customer insight, segmentation, and service personalisation to support commercial and social outcomes.
- Strong attention to detail and ability to ensure both strategy and execution are carried through to a high standard.
- Experience in the definition and execution of enterprise-wide data governance frameworks, controls, and policy.
Head of Enterprise Data & System Integration-Banking Regulatory Hybrid Kent employer: Telstra Associates
Contact Detail:
Telstra Associates Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Head of Enterprise Data & System Integration-Banking Regulatory Hybrid Kent
✨Tip Number 1
Network with professionals in the banking and data integration sectors. Attend industry events or webinars to connect with potential colleagues and leaders in the field. This can help you gain insights into the role and make valuable contacts.
✨Tip Number 2
Familiarise yourself with the latest trends in data governance and system integration, especially within financial services. Being knowledgeable about current technologies and methodologies like Data Mesh will demonstrate your commitment and expertise during interviews.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully led data strategy initiatives in previous roles. Highlight your experience in building cross-functional teams and driving data quality improvements, as these are crucial for the position.
✨Tip Number 4
Showcase your leadership skills by discussing how you've mentored or developed teams in the past. Emphasising your ability to foster a data-driven culture will resonate well with the hiring managers looking for a Head of Enterprise Data.
We think you need these skills to ace Head of Enterprise Data & System Integration-Banking Regulatory Hybrid Kent
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your significant experience in leading enterprise data strategy and system integration, especially within regulated environments like financial services. Use specific examples to demonstrate your track record in delivering scalable data platforms.
Craft a Compelling Cover Letter: In your cover letter, emphasise your ability to build and lead cross-functional data teams. Discuss your experience with Data Mesh or federated data ownership models, and how these can benefit the bank's operations.
Showcase Relevant Achievements: Include quantifiable achievements related to data quality, governance frameworks, and stakeholder reporting. This will help illustrate your strong attention to detail and your capability to drive strategic decision-making.
Prepare for Potential Questions: Anticipate questions regarding your experience in managing data culture and accountability. Be ready to discuss how you have used data to enhance customer insights and service personalisation in previous roles.
How to prepare for a job interview at Telstra Associates
✨Showcase Your Leadership Experience
As a Head of Enterprise Data & System Integration, you'll need to demonstrate your ability to lead teams effectively. Prepare examples of how you've successfully managed cross-functional teams and driven data strategy in previous roles.
✨Understand the Regulatory Landscape
Since this role is within a regulated environment, it's crucial to show your understanding of banking regulations and compliance. Brush up on relevant regulations and be ready to discuss how you've navigated these in past positions.
✨Highlight Your Technical Skills
Be prepared to discuss your experience with data platforms and tools. Highlight specific technologies you've worked with, especially those related to data integration and governance, and how they contributed to operational success.
✨Demonstrate Strategic Thinking
This role requires a strategic mindset. Be ready to talk about how you've used data to drive business decisions and improve customer engagement. Share examples that illustrate your ability to align data initiatives with broader business goals.
