{"id":3515536,"url":"https://alion.io/job/wells-fargo-data-management-analyst-2","title":"Data Management Analyst","company":{"id":1977,"name":"Wells Fargo","domain":"wellsfargo.com","url":"https://alion.io/company/wells-fargo","size_band":"1001-5000","is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":10,"ghost_share":0,"stale_share":0,"repost_share":0,"time_to_fill_p50_days":3,"computed_at":"2026-10-30T05:48:23Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Hyderabad, India"],"countries":["IN"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":15000,"max_usd":34000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1854},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Alteryx","optional":false},{"name":"Anomaly Detection","optional":false},{"name":"Copilot","optional":false},{"name":"Machine Learning","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-10-30T10:20:27Z","employer_posted_date":"2026-10-30","last_verified_at":"2026-10-31T02:14:46Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"About this role:\nWells Fargo is seeking a Senior Data Management Analyst in the Corporate and Investment Banking (CIB) Data Management organization to support the delivery and adoption of CIB Data Services, including Data Registration, Data Movement Controls, and Data Distribution. The role will contribute to data governance, product and project delivery, stakeholder engagement, and continuous improvement activities that support a simplified, well-controlled, and reusable data environment. This is an individual contributor position requiring independent execution, sound judgment, and effective collaboration across business and technology teams. This is a hybrid role with some in-office expectations.\nThe ideal candidate will partner with stakeholders across business, technology, data, change management, controls, and risk functions to translate needs into practical data solutions. The candidate should bring strong analytical, collaboration, presentation, and project management skills, with the ability to manage assigned deliverables from requirements through implementation. Familiarity with artificial intelligence, machine learning, or data science concepts-and an interest in applying these capabilities responsibly to data management use cases-is important. Knowledge of data governance, data quality, metadata, lineage, and financial services data environments is preferred.\nIn this role, you will:\nSupport the development, delivery, and adoption of CIB Data Services, including Data Registration, Data Movement Controls, and Data Distribution.\nCollaborate with business, technology, data, control, risk, and change partners to gather requirements, clarify priorities, resolve issues, and deliver agreed outcomes.\nContribute to data service and data product roadmaps by documenting requirements, user stories, process flows, dependencies, acceptance criteria, and success measures.\nPerform analysis and coordinate assigned data sourcing, registration, onboarding, and remediation activities in alignment with data strategy, policy, standards, and approved sources.\nMaintain a comprehensive catalog of CIB Datasets, identifying the system of record and authorized data sources to ensure consistency, traceability, and strategic alignment.\nMaintain accurate dataset, metadata, ownership, lineage, system-of-record, authorized-source, and usage information to support transparency, traceability, and reuse.\nApply project management disciplines to assigned initiatives, including work planning, milestone and dependency tracking, meeting facilitation, risk and issue management, status reporting, and follow-through on actions.\nPrepare and deliver clear presentations, dashboards, process documentation, management updates, and decision materials for technical and non-technical audiences.\nAnalyze data, process, and control information to identify gaps, trends, root causes, and opportunities to improve data quality, operational efficiency, and user experience.\nSupport testing, user acceptance, training, procedure development, change readiness, and stakeholder communications for new or enhanced data capabilities.\nExplore and support responsible use of AI, automation, and data science techniques-for example, metadata enrichment, data classification, data quality monitoring, anomaly detection, and workflow improvement-while following applicable governance and control requirements.\nRequired Qualifications:\n4+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education\n\nJob Expectations:\n4+ years of Data Management, Business Analysis, Analytics, or Project Management experience, or equivalent demonstrated through one or a combination of work experience, training, or education.\nExperience working with business and technology stakeholders to analyze requirements, document processes, and deliver data-related initiatives.\nWorking knowledge of data management concepts such as data governance, data quality, metadata, lineage, data sourcing, or data controls.\nDesired Qualifications:\nExperience in financial services, capital markets, investment banking, securities operations, risk, finance, or a comparable regulated environment.\nDemonstrated collaboration and stakeholder management skills, with the ability to build productive partnerships in a matrixed environment.\nStrong written, verbal, and presentation skills, including the ability to translate technical or data concepts into clear business language and prepare executive-ready materials.\nProject management experience, including planning, milestone tracking, dependency management, risk and issue management, status reporting, and coordination across multiple workstreams.\nExperience with data governance, data quality, metadata management, data lineage, business glossaries, dataset registration, sourcing controls, or data catalog tools.\nExperience translating business needs into requirements, user stories, process flows, acceptance criteria, test plans, or operating procedures.\nFamiliarity with AI, machine learning, generative AI, or data science concepts and their application to data management, analytics, automation, or process improvement.\nExposure to analytical or automation tools such as SQL, Python, Power BI, Tableau, Alteryx, Power Platform, Copilot, or similar technologies is a plus.\nStrong analytical, problem-solving, attention-to-detail, and organizational skills, with the ability to manage competing priorities and meet deadlines.\nStrong risk and control mindset, with the ability to follow policies, identify and escalate issues, and support sustainable remediation.\nAbility to work independently with appropriate guidance, demonstrate initiative and accountability, and contribute effectively as an individual team member.\nPosting End Date:\n5 Nov 2026*Job posting may come down early due to volume of applicants.\nWe Value Equal Opportunity\nWells Fargo is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, status as a protected veteran, or any other legally protected characteristic.\nEmployees support our focus on building strong customer relationships balanced with a strong risk mitigating and compliance-driven culture which firmly establishes those disciplines as critical to the success of our customers and company. They are accountable for execution of all applicable risk programs (Credit, Market, Financial Crimes, Operational, Regulatory Compliance), which includes effectively following and adhering to applicable Wells Fargo policies and procedures, appropriately fulfilling risk and compliance obligations, timely and effective escalation and remediation of issues, and making sound risk decisions. There is emphasis on proactive monitoring, governance, risk identification and escalation, as well as making sound risk decisions commensurate with the business unit’s risk appetite and all risk and compliance program requirements.\nCandidates applying to job openings posted in Canada: Applications for employment are encouraged from all qualified candidates, including women, persons with disabilities, aboriginal peoples and visible minorities. Accommodation for applicants with disabilities is available upon request in connection with the recruitment process.\nApplicants with Disabilities\nTo request a medical accommodation during the application or interview process, visit Disability Inclusion at Wells Fargo.\nDrug and Alcohol Policy\nWells Fargo maintains a drug free workplace. Please see our Drug and Alcohol Policy to learn more.\nWells Fargo Recruitment and Hiring Requirements:\na. Third-Party recordings are prohibited unless authorized by Wells Fargo.\nb. Wells Fargo requires you to directly represent your own experiences during the recruiting and hiring process.\nc. 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