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# Associate Sr Strategic Data Management Provisioning at Chief Data & Analytics Office

- **Company:** JPMorganChase
- **Location:** London, UK
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Cloud Computing, Profiling, Data Architecture, Information Engineering, Data Governance, Data Profiling, Executive Information Systems, Github, R (Programming Language), Revision Control Systems, Graph Database, Python (Programming Language), Meta-Data Management, Reference Data, Power BI, SQL Databases, Tableau (Software), Apache Spark, Git, Data Lineage, Data Analytics, Performance Monitor, Bitbucket, Data Management
- **Published:** September 12, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=d09cb6dd4a68599a

## About the Role

* 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

## Description

* 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


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