At a Glance
- Tasks: Lead data initiatives and drive AI-ready data availability across the organisation.
- Company: Join JPMorganChase, a leader in financial innovation and data-driven decision-making.
- Benefits: Competitive salary, career growth, and opportunities to work with cutting-edge technology.
- Other info: Dynamic role with high visibility and collaboration across teams.
- Why this job: Make a measurable impact on data transformation in wealth and asset management.
- Qualifications: Experience in data engineering and strong analytical skills required.
The predicted salary is between 72000 - 88000 £ per year.
Join one of the world's most innovative financial institutions and help shape the future of data-driven decision-making at scale. At JPMorganChase, we believe that great data is the foundation of great outcomes - and we're looking for bold, execution-focused professionals who are ready to make a measurable impact.
As a Lead Data Engineer at JPMorganChase within the Chief Data and Analytics Office of Asset & Wealth Management, you will be at the forefront of accelerating the firm's data and analytics journey. You will partner across business, technology, and operations to make high-quality, AI-ready data available at scale - driving transparency, trust, and adoption across the data lifecycle. This is a high-visibility role where your work directly enables innovation, regulatory compliance, and client outcomes across wealth and asset management.
The Strategic Data Provisioning team is a critical enabler of AWM's data transformation - modeling behaviors that drive adoption, managing cross-product dependencies, and demonstrating value at every stage of the data lifecycle. You will bring deep technical expertise and strategic thinking to solve complex data challenges, while collaborating with senior stakeholders to deliver measurable results.
Job responsibilities
- Provision new and differentiated data assets to support AI and analytics initiatives, partnering with use case owners to define requirements, manage product dependencies, and accelerate delivery through AI-enabled data tooling.
- Drive executive visibility into the progress of making critical data sources available, including performance metrics, adoption tracking, and transparency into bottlenecks.
- Support agile product routines to oversee cross-product data dependencies, prioritize delivery, and align resources across business, technology, and operations partners.
- Identify and document the lineage and provenance of critical data assets to support governance, regulatory, and business requirements, embedding evergreen controls to improve safety and traceability.
- Develop and deliver data lineage analysis and reporting that provides executive visibility on progress against critical service-level agreements, including blockers and resourcing needs.
- Lead root cause analysis of data quality issues using deep data profiling and advanced analytics techniques, fixing identified issues and embedding preventative controls to reduce future failures.
- Drive operational efficiency by eliminating the cost of poor data quality through common tooling, frameworks, and proactive control development.
- Enrich the metadata and semantic layer of existing data assets to improve discoverability, usability, and value for AI applications and natural language query capabilities.
- Accelerate adoption of mesh data architecture by uplifting existing data assets with improved metadata, data quality scores, and lineage information.
- Develop and deliver data product prototypes that demonstrate the value of enriched data assets and reduce consumer friction caused by incomplete documentation or poor catalogue quality.
Required qualifications, capabilities, and skills
- Formal training or certification on data engineering concepts and advanced applied experience.
- Deep subject matter expertise in wealth and asset management data domains, including customer, account, position, transaction, and/or reference data.
- Proven ability to deliver results in a matrixed and complex environment, with demonstrated experience influencing stakeholders at all levels of an organization.
- Experience leading strategic or transformational data initiatives, including data governance, data quality programs, or analytics transformation.
- Strong technical proficiency in data profiling, analysis, and data management using modern tools and environments, including Python, R, SQL, Spark, and cloud platforms.
- Experience with data quality frameworks, including profiling, rule development, issue remediation, and the design of preventative controls.
- Ability to translate complex technical findings into clear executive-level communications, dashboards, and performance reporting.
Preferred qualifications, capabilities, and skills
- Hands-on experience with data lineage tools and techniques, including graph databases and metadata management platforms.
- Experience with data visualization and reporting tools such as Tableau or Power BI to deliver executive dashboards and performance metrics.
- Knowledge of data governance frameworks, data quality dimensions, and regulatory requirements such as BCBS 239 or GDPR.
- Experience applying AI and machine learning techniques to data management challenges, such as automated data profiling or metadata enrichment.
- Familiarity with agile and product management methodologies, with experience working in cross-functional agile teams.
- Experience with version control tools such as Git, GitHub, or Bitbucket in a collaborative engineering environment.
Strategic Data Provisioning Specialist / Lead at Chief Data & Analytics Office (CDAO) - Assoc / VP employer: Jpmorgan Chase & Co.
JPMorgan Chase & Co. is an exceptional employer, offering a dynamic work environment in Bournemouth where innovation and collaboration thrive. Employees benefit from a strong focus on professional development, inclusive team culture, and the opportunity to work with cutting-edge technology in a supportive atmosphere that values continuous improvement and engineering excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Strategic Data Provisioning Specialist / Lead at Chief Data & Analytics Office (CDAO) - Assoc / VP
✨Tap into Campus Networks
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Join finance-focused groups on platforms like LinkedIn and engage in discussions. This can really help you stand out from the crowd, allowing potential employers to see your knowledge and interest in industry trends. Plus, you might stumble upon job postings shared exclusively within the group.
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We think you need these skills to ace Strategic Data Provisioning Specialist / Lead at Chief Data & Analytics Office (CDAO) - Assoc / VP
Some tips for your application 🫡
Show Off Your Numbers!:In the banking and financial services world, quantifiable achievements are key. Make sure your CV highlights your grades in relevant subjects, any financial certifications you hold, and specific projects where you've delivered measurable results. Employers love to see how your skills translate into real-world success.
Tailor Your Cover Letter to the Role:When applying for a full-time position, your cover letter should make a direct connection between your experience and the job description. Don't just state your enthusiasm for finance—dive into how your background in banking or financial analysis sets you apart. Let your passion shine through while being specific about what you can bring to Jpmorgan Chase & Co..
Include Relevant Financial Software Experience:If you've worked with financial modelling tools or software like Excel, SAP, or specific analytical tools during your studies or internships, bring that up! Highlighting your proficiency can really make your application pop and show you're ready to hit the ground running in a full-time role.
Research and Reflect:Before hitting that 'apply' button on Jpmorgan Chase & Co.'s website, do a little digging. Look up their recent projects, values, and culture. Reflecting their ethos in your application can make a huge difference and show you’re genuinely interested in being part of the team!
How to prepare for a job interview at Jpmorgan Chase & Co.
✨Brush Up on Financial Analysis Skills
Make sure you're well-versed in financial concepts and analytical techniques relevant to banking and financial services. Get comfortable with tools like Excel for modelling or financial forecasting, as technical questions in this area are common during interviews with Jpmorgan Chase & Co..
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Expect to tackle case studies that demonstrate your problem-solving skills in real-world banking scenarios. Familiarise yourself with the types of problems you might face—think risk assessments or investment evaluations—and be ready to articulate your thought process clearly.
✨Show Your Passion for Finance
Since this is a full-time position, employers at Jpmorgan Chase & Co. will be keen to see your genuine interest in finance. Be prepared to discuss recent industry trends or news articles that excite you, showcasing your enthusiasm and engagement with the field.
✨Network with Industry Professionals
Before your interview, reach out to current or former Jpmorgan Chase & Co. employees on platforms like LinkedIn. They'll offer unique insights into the company's culture and the interview process, which can give us a delightful edge in showcasing a good fit for the team.
