> Markdown version of [/jobs/ext/48505-vice-president-hr-data-platform-delivery-lead](https://www.wearedevelopers.com/jobs/ext/48505-vice-president-hr-data-platform-delivery-lead). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Vice President- HR Data Platform Delivery Lead... - **Company:** JPMorgan Chase & Co. - **Location:** New York, NY, United States - **Experience:** Expert - **Salary:** $128,250.0 - $205,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Artificial Intelligence, Amazon Web Services, Business Analytics Applications, Data Analysis, Big Data, Cloud Engineering, Data Governance, Data Infrastructure, Data Profiling, Data Security, Data Systems, Identity and Access Management, Metadata, Meta-Data Management, Runbook, SQL Databases, Enterprise Data Management, Data Classification, Snowflake, Usage Tracking, Microsoft Fabric, Data Management, Databricks - **Published:** May 22, 2026 - **Apply:** https://www.juju.com/job/00000000g1pw0r ## About the Role + **Five or more years** of experience delivering data, analytics, technology, or platform initiatives in complex enterprise environments + **Demonstrated** business analysis skills, including requirements gathering, process mapping, stakeholder interviews, user story creation, and documentation management + **Hands-on** experience working with data platforms, analytics environments, or enterprise data ecosystems + **Strong** analytical and problem-solving skills to investigate data issues, analyze datasets, and identify process improvements + **Experience** supporting agile delivery models and partnering closely with Product Owners, Engineering teams, and business stakeholders + **Familiarity** with modern cloud and data platform ecosystems such as Databricks, Snowflake, Microsoft Fabric, or Amazon Web Services analytics services + **Understanding** of metadata management, data governance, lineage, entitlements, data access controls, and data quality concepts + **Working knowledge** of SQL and data analysis tools for validation, reconciliation, and operational support activities + **Ability** to communicate effectively across technical and non-technical audiences + **Strong** organizational skills with ability to manage multiple initiatives and priorities simultaneously + **Experience** working in regulated or control-focused environments with emphasis on governance, risk, and compliance Preferred Qualifications, Capabilities, and Skills + Experience supporting HR, workforce, finance, or enterprise data domains + Familiarity with governance and entitlements platforms such as Immuta, Privacera, or Unity Catalog + Exposure to metadata and catalog platforms, data quality tooling, and workflow automation solutions + Experience supporting large-scale data onboarding, migration, or modernization initiatives + Exposure to AI and machine learning-enabled analytics environments, notebook tooling, or self-service analytics platforms + Understanding of enterprise data lifecycle management, operational controls, and data privacy considerations + Prior experience acting as a liaison between business stakeholders and technical engineering teams ## Description As a **Vice President** in the **HR and Employee Experience Data Products** organization, you will support the delivery and evolution of the organization's next-generation HR data platform. You will partner closely with senior platform leadership to execute strategic initiatives focused on secure data access, self-service analytics, metadata and governance capabilities, data quality, and scalable HR data solutions. You will operate as a hands-on delivery lead and technical business analyst, translating business requirements into platform capabilities while supporting day-to-day execution and delivery activities. You will work across HR, Technology, Data Governance, Privacy, Controls, and Engineering teams to drive platform enhancements across onboarding, governance, analytics, entitlements, metadata, and operational processes., + **Support** execution and delivery of strategic HR data platform initiatives with Product Directors, Product Owners, Engineering, and Data Governance stakeholders + **Gather** and **refine** business and functional requirements for HR data products, platform capabilities, and data governance solutions + **Translate** business needs into scalable technical solutions and actionable delivery plans with business users, analysts, engineers, and product teams + **Implement** and **enhance** self-service HR data consumption capabilities and modernized data access patterns + **Execute** data onboarding activities including source analysis, mapping, metadata capture, data profiling, lineage documentation, and validation + **Contribute** to access governance processes including HR data entitlements, access controls, and data usage controls + **Drive** metadata management activities including cataloging, glossary alignment, lineage documentation, and data classification across HR datasets + **Implement** and **monitor** business data quality processes, controls, validation rules, and remediation workflows + **Investigate** data quality issues and platform incidents by performing data analysis and root-cause assessment, including downstream consumer impacts + **Coordinate** testing and release support including user acceptance testing coordination, defect tracking, regression validation, and release readiness + **Create** delivery artifacts such as process flows, user stories, acceptance criteria, standard operating procedures, governance documentation, runbooks, and executive-ready status reporting ## Related Videos - [Alibaba Big Data and Machine Learning Technology](https://www.wearedevelopers.com/videos/37-alibaba-big-data-and-machine-learning-technology) - [Technical Documentation - How Can I Write Them Better and Why Should I Care?](https://www.wearedevelopers.com/videos/681-technical-documentation-how-can-i-write-them-better-and-why-should-i-care) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Data Fabric in Action - How to enhance a Stock Trading App with ML and Data Virtualization](https://www.wearedevelopers.com/videos/253-data-fabric-in-action-how-to-enhance-a-stock-trading-app-with-ml-and-data-virtualization) - [Crafting Custom Frameworks with Rust: A Deep Dive into Procedural Macros](https://www.wearedevelopers.com/videos/849-crafting-custom-frameworks-with-rust-a-deep-dive-into-procedural-macros) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland)