Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Lead data transformation initiatives and drive innovative data solutions for clients.
- Company: Join a forward-thinking tech firm focused on data excellence.
- Benefits: Attractive salary, flexible working options, and opportunities for professional growth.
- Why this job: Shape the future of data engineering and analytics while making a real impact.
- Qualifications: 15+ years in IT with strong data strategy and leadership experience.
- Other info: Dynamic role with global exposure and thought leadership opportunities.
The predicted salary is between 72000 - 108000 £ per year.
We are seeking a dynamic and experienced leader for our Data CoE driving growth in Data Engineering & Analytics areas. This role combines strategic leadership, deep technical expertise, and a focus on building market differentiators. Role will be responsible for establishing and scaling the Data Engineering practice, driving the development of innovative capabilities, and contributing to high-impact client engagements, strategic proposals, and business growth initiatives.
Key Responsibilities:
- Drive the growth of the Data Center of Excellence (CoE) by developing capabilities and differentiators across data architecture, data engineering, data analytics, data quality, and governance.
- Scale the Data Engineering practice by setting foundational standards, hiring top talent, and building NextGen data solutions, methodologies, and frameworks.
- Define and execute data modernization strategies that enable real-time analytics, AI/ML adoption, and enterprise-wide digital transformation.
- Design and deliver modern data platform solutions (e.g., Snowflake, Databricks, Lakehouse, Lake Formation, Microsoft Fabric) that support scalable analytics, automation, and advanced insights.
- Act as a trusted advisor to client and internal executives, shaping data roadmaps, governance frameworks, and modernization strategies aligned with business goals.
- Lead/guide large-scale delivery programs, providing technical and strategic guidance to cross-functional teams to ensure on-time, high-quality outcomes.
- Support business growth through active participation in opportunity development, RFP responses, solutioning, and client presentations.
- Develop and position differentiated solutions and accelerators to enhance delivery efficiency and strengthen go-to-market offerings.
- Enable and upskill account and delivery teams through structured enablement sessions, training programs, and knowledge-sharing initiatives.
- Drive thought leadership and innovation by authoring whitepapers, conducting webinars, and representing the organization at global industry forums.
Skills & Experience Required:
- 15+ years of overall IT experience, with a minimum of 5 years dedicated to data strategy, architecture, or transformation leadership in global consulting, IT services, or service integration environments, with multi-vertical exposure preferred.
- Strong hands-on experience in designing and implementing data lakes, lakehouses, data mesh, ETL/ELT pipelines, streaming architectures, and API-driven integrations using platforms like Databricks, Snowflake, Microsoft Fabric, Azure Synapse, BigQuery, Redshift.
- Proven ability to lead & deliver large-scale global data transformation programs, mentor cross-functional teams, and influence key stakeholders to align on new initiatives & strategies.
- Strong understanding of data governance, metadata management, data lineage, and master data management (MDM) using tools like Collibra, Alation, Informatica.
- Experience integrating data pipelines with ML Ops, feature stores, and BI/visualization tools (Power BI, Tableau, Looker), supporting predictive analytics and AI-driven insights.
- Experience in data quality frameworks, monitoring, validation, and automation to ensure accuracy, consistency, and reliability across large-scale data environments.
- Ability to build and scale data engineering and analytics practices, develop reusable frameworks, accelerators, and differentiated solutions for clients.
- Working knowledge of AI/ML concepts and understanding of their impact on modern data architectures and governance.
- Strong leadership, communication, and stakeholder management skills.
COE Data Transformation Leader employer: Olenick
Contact Detail:
Olenick Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land COE Data Transformation Leader
✨Tip Number 1
Network like a pro! Get out there and connect with industry folks on LinkedIn or at events. You never know who might have the inside scoop on job openings or can put in a good word for you.
✨Tip Number 2
Show off your expertise! Create a portfolio or blog showcasing your data transformation projects and insights. This not only highlights your skills but also makes you memorable to potential employers.
✨Tip Number 3
Prepare for interviews by practising common questions and scenarios related to data engineering and analytics. We recommend doing mock interviews with friends or using online platforms to boost your confidence.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace COE Data Transformation Leader
Some tips for your application 🫡
Tailor Your CV: Make sure your CV speaks directly to the role of COE Data Transformation Leader. Highlight your experience in data strategy and transformation, and don’t forget to mention any relevant technologies like Databricks or Snowflake that you’ve worked with.
Craft a Compelling Cover Letter: Your cover letter is your chance to shine! Use it to tell us why you're passionate about data engineering and how your leadership experience aligns with our goals at StudySmarter. Be specific about your achievements and how they relate to the responsibilities outlined in the job description.
Showcase Your Leadership Skills: We’re looking for someone who can lead and mentor teams. In your application, share examples of how you've successfully guided cross-functional teams in previous roles, especially in large-scale data transformation projects.
Apply Through Our Website: Don’t forget to submit your application through our website! It’s the best way for us to receive your details and ensures you’re considered for the role. Plus, it shows you’re keen on joining the StudySmarter team!
How to prepare for a job interview at Olenick
✨Know Your Data Inside Out
Make sure you have a solid grasp of the latest trends and technologies in data engineering and analytics. Familiarise yourself with platforms like Snowflake, Databricks, and Microsoft Fabric, as well as concepts like data lakes and AI/ML integration. This will not only help you answer technical questions but also demonstrate your passion for the field.
✨Showcase Your Leadership Skills
As a COE Data Transformation Leader, you'll need to exhibit strong leadership qualities. Prepare examples from your past experiences where you've successfully led teams or projects. Highlight how you mentored others and influenced stakeholders to align on new initiatives, as this will resonate well with interviewers.
✨Prepare for Scenario-Based Questions
Expect scenario-based questions that assess your problem-solving abilities and strategic thinking. Think about challenges you've faced in previous roles related to data governance, architecture, or transformation. Be ready to discuss how you approached these challenges and the outcomes of your actions.
✨Align with Business Goals
Understand the company's vision and how the Data CoE fits into their overall strategy. Be prepared to discuss how you can contribute to business growth initiatives and client engagements. Showing that you can align data strategies with business objectives will set you apart from other candidates.
