{"id":2745170,"url":"https://alion.io/job/jpmorganchase-lead-solutions-analyst-data-catalog","title":"Lead Solutions Analyst - Data Catalog","company":{"id":257,"name":"JPMorganChase","domain":"jpmorganchase.com","url":"https://alion.io/company/jpmorganchase","size_band":"5000+","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Oracle","truth_index":{"grade":"A","score":90,"open_postings":1151,"ghost_share":0.01,"stale_share":0.533,"repost_share":0.06,"time_to_fill_p50_days":12,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Analytics","role_family":"Analytics","seniority":"lead","employment_type":null,"work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Jersey City, United States"],"countries":["US"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":141000,"max_usd":270000,"period":"year","method":"role_seniority_country_remote_cell","sample_n":408},"experience_years_min":5,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Agile","optional":false}],"status":"live","first_seen_at":"2026-10-13T21:01:25Z","employer_posted_date":"2026-10-13","last_verified_at":"2026-10-30T22:23:31Z","board_verified":true,"closed_at":null,"days_open":17,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":17},"description":"Are you ready to lead at the intersection of data strategy, governance, and enterprise technology delivery? At JPMorganChase, we believe that the right data - governed well, delivered reliably, and made accessible - is a competitive advantage. This is your opportunity to shape that future.\nAs a Lead Solutions Analyst at JPMorganChase within the Corporate Data and Analytics Services team, you will play a pivotal role in advancing the firm's data strategy by designing and delivering enterprise-scale data solutions across the Corporate Technology organization. You will drive the execution of key data initiatives - including the Corporate Data Catalog, Data Lineage, Entitlements, and Data Quality frameworks - while collaborating with engineering teams, senior stakeholders, and Chief Data Officers to ensure high-quality, accessible, and reliable data assets. Your work will directly support the firm's vision of a self-service, fully observable data platform that embraces data mesh and data product principles, enabling domain-driven ownership and consistent data management at scale.\nJob responsibilities\nLead end-to-end delivery of regulatory technology programs with regulator-reportable commitments, embedding control and evidence requirements into milestone exit criteria to ensure programs remain continuously audit-ready\nOwn and operate a single intake and prioritization model across multiple competing senior stakeholder organizations, converting ad-hoc demand into a published, predictable roadmap with accountable delivery cadence\nDrive on-time milestone delivery against committed dates by managing agile delivery rhythms with engineering teams and proactively resolving cross-team dependencies and delivery risks\nInfluence and secure engineering capacity and resources from teams outside direct reporting lines, negotiating scope trade-offs directly with Chief Data Officers and senior leadership\nApply deep expertise in metadata management, data lineage, data governance lifecycle, data contracts, data tiering, and industry catalog standards to shape platform direction and ensure alignment with firmwide standards\nInstrument and analyze platform usage signals to diagnose adoption blockers, re-sequence roadmaps in response, and drive measurable enterprise-scale adoption through roadshows, enablement sessions, and self-serve onboarding materials\nOwn the executive narrative for a multi-stakeholder platform, running senior governance forums and reporting milestone and risk status to senior leadership and regulatory and audit stakeholders\nPartner with engineering leads on sprint planning and backlog refinement to ensure roadmap commitments are reflected in sprint scope and delivery risks are resolved proactively\nAdvance the firm's data mesh and data product strategy by fostering domain-driven data ownership, enabling self-service data platforms, and treating data as a product to ensure quality and reliability\nRequired qualifications, capabilities, and skills\nFormal training or certification on solutions analysis concepts and 5+ years applied experience\nProven track record delivering technology programs with regulatory reporting obligations, including embedding audit-ready controls and evidence requirements into program delivery frameworks\nDemonstrated experience running a structured demand intake and prioritization model across multiple senior stakeholder organizations, with accountability for end-to-end agile delivery\nExperience influencing at the Managing Director level and above, securing resources from teams outside direct reporting lines and negotiating scope trade-offs with senior data leadership\nDeep working knowledge of metadata management, data lineage, data governance lifecycle, data contracts, and industry catalog standards such as DCAT and DPROD\nProven ability to drive measurable platform adoption at enterprise scale, including diagnosing adoption blockers and leading enablement programs for technical and executive audiences\nStrong executive communication skills with experience owning governance reporting, running senior forums, and framing complex trade-offs for leadership decision-making\nPreferred qualifications, capabilities, and skills\nExperience with AI-ready data product enablement and familiarity with data mesh principles and domain-driven data ownership models\nFamiliarity with regulatory frameworks such as BCBS 239 or equivalent regulator-reportable data governance standards\nExperience collaborating with engineering teams on sprint planning and backlog refinement to align roadmap commitments with delivery execution\nKnowledge of data catalog, data quality, data entitlements, and data retention and destruction frameworks in a large-scale enterprise environment\nBackground working within a federated technology organization, coordinating across 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