At a Glance
- Tasks: Lead transformative AI and data solutions using Databricks for diverse clients.
- Company: Join EY, a global leader in consulting and technology innovation.
- Benefits: Hybrid work model, competitive salary, and opportunities for professional growth.
- Other info: Be part of a dynamic team driving innovation and excellence in AI.
- Why this job: Shape the future of AI and data while making a real impact.
- Qualifications: Extensive experience in consulting and deep expertise in Databricks technologies.
The predicted salary is between 70000 - 90000 £ per year.
At EY, we’re all in to shape your future with confidence. We’ll help you succeed in a globally connected powerhouse of diverse teams and take your career wherever you want it to go. Join EY and help to build a better working world.
We are looking for an outstanding Senior Manager – Databricks AI & Data Client Solution Lead to help scale our Databricks-led AI and Data business. This role is for someone who can be deployed directly with clients to identify business challenges, shape Databricks-based solutions and lead teams to deliver production-grade data, analytics, AI and GenAI capabilities. This is a leadership role at the intersection of consulting, technology, innovation, and strategic alliances and you will bring deep expertise in the Databricks Data Intelligence Platform, Lakehouse architecture, Delta Lake, Apache Spark, Unity Catalog, MLflow, Mosaic AI, data engineering, machine learning, GenAI and cloud-native delivery.
As a key leader within our AI & Data Practice, you will work closely with Databricks, client executives, and sector teams to develop market-leading propositions, shape strategic opportunities, build high-performing teams, and deliver transformative data and AI programs powered by Databricks.
The opportunity Clients increasingly need to modernise fragmented data estates, industrialise AI, build trusted data products and operationalise GenAI at scale. As a Senior Manager, you will help clients use Databricks to:
- Build modern lakehouse architectures ready for AI
- Industrialise data engineering and ML pipelines.
- Build governed data products.
- Deliver AI solutions that improve decision-making across business workflows.
This is a role for someone who can work from boardroom to engineering squad — shaping the business case, designing the solution and leading delivery.
Key Responsibilities
- Client Advisory & Solution Shaping: Engage with senior business and technology stakeholders to identify business problems and value pools, translate business needs into Databricks-led solution designs, build prototypes and proof points. Shape end-to-end solutions using Databricks Intelligence Platform, Delta Lake, Apache Spark, Unity Catalog, Databricks Workflows, Delta Live Tables / Lakeflow-style pipelines, MLflow, Feature Store, Model Serving and Mosaic AI capabilities.
- Team Leadership & Delivery: Build, lead, upskill and mentor a high-performing team of Databricks engineers, and consultants. Land into a client environment, decode the business pain, build a prototype or solution narrative, align stakeholders, create a commercial case, and then mobilise delivery with a team of Databricks trained experts. Ensure successful delivery of complex Databricks led transformations, including: Data Platform Modernisation, Data Products, AI solutions, Data Governance and Operating Models. Provide oversight for solution governance, architecture reviews, and key design decisions.
- Alliance Leadership: Work closely with Databricks alliance leadership to identify and execute joint go‑to‑market opportunities. Collaborate on co‑selling opportunities, innovation workshops, industry campaigns, and executive events. Act as an ambassador for the firm's AI & Data capabilities across the Databricks ecosystem.
- Sales & Growth: Work closely with account leaders, sector leaders, and other practice leaders to develop a strong Databricks opportunity pipeline. Develop differentiated propositions that combine deep industry expertise with Databricks technology capabilities and contribute directly to revenue growth and sales targets across AI & Data services.
What Success Looks Like
The successful candidate will:
- Become a recognised Databricks AI and Data leader internally and externally.
- Shape and close strategic Databricks-led opportunities and create a sustainable and growing pipeline of transformation programmes that contribute significantly to AI & Data practice growth.
- Establish a leading Databricks capability recognised for technical excellence and innovation.
- Translate business challenges into practical, scalable Databricks-powered solutions.
- Increase joint pipeline, co‑sell activity, and strategic engagement with Databricks.
Skills & Experience
Essential:
- Extensive experience in consulting, technology advisory, or data transformation roles.
- Advanced level certifications in Databricks Partner Champion certifications.
- Deep expertise across the Databricks ecosystem - Databricks Intelligence Platform, Delta Lake, Apache Spark, Unity Catalog, Databricks Workflows, Delta Live Tables / Lakeflow‑style pipelines, MLflow, Feature Store, Model Serving and Mosaic AI capabilities, Genie etc.
- Proven track record of shaping and delivering large-scale data and technology transformation programmes.
- Experience leading multidisciplinary teams of architects, engineers, consultants, and delivery professionals.
- Strong stakeholder management and executive communication skills.
- Commercial mindset with experience supporting sales, pipeline development, and revenue growth.
- Demonstrated ability to coach, mentor, and develop high‑performing teams.
Desirable:
- Experience working directly with Databricks account teams and alliance organisations.
- Experience in industry‑led digital transformation programmes.
- Knowledge of Responsible AI, AI governance, and enterprise adoption frameworks.
- Commercially astute and growth oriented mindset.
If you are passionate about building teams, shaping transformative client solutions, and creating market‑leading AI capabilities powered by Databricks, we would love to hear from you.
(INV) Senior Manager, Databricks AI & Data Client Solutions Lead, TC UKI employer: EY UK
EY UK is an exceptional employer, offering a dynamic work culture in Birmingham that fosters professional growth and development. As a Senior HR Help Desk Advisor, you'll benefit from comprehensive training, a supportive team environment, and clear pathways for career advancement into Employee Relations, all while contributing to a company renowned for its commitment to employee well-being and inclusivity.
StudySmarter Expert Advice🤫
We think this is how you could land (INV) Senior Manager, Databricks AI & Data Client Solutions Lead, TC UKI
✨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 EY UK!
✨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 (INV) Senior Manager, Databricks AI & Data Client Solutions Lead, TC UKI at EY UK.
✨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 EY UK.
✨Apply Directly through Our Website
When you find a suitable opening like (INV) Senior Manager, Databricks AI & Data Client Solutions Lead, TC UKI at EY UK, 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 (INV) Senior Manager, Databricks AI & Data Client Solutions Lead, TC UKI
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 EY UK, 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 EY UK. 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 EY UK
✨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 EY UK!
✨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.
