Responsibilities:

Define business needs, functional and non-functional requirements, and process flows, providing visual illustrations of technical concepts and maintaining clear, accurate, and detailed documentation. Translate business needs into technical specifications alongside data engineering, acting as a liaison for modern data architecture (APIs, data schemas, Kafka/MQ event streaming) to ensure seamless enterprise connectivity. Perform deep-dive data analysis, source-to-target mapping, and utilize logical/physical data models, working closely with the modeling team to refine canonical data models. Conduct tests or test planning sessions, provide input for feasibility, prepare user documentation, and follow-up evaluation. Test and validate data attributes based on source data and results from other systems to ensure data accuracy. Strong understanding of Master Data Management (MDM) concepts, deduplication algorithms, and data governance standards is a plus. Occasionally lead small projects and/or teams to develop solutions for internal business units. IBM Infosphere MDM's Probabilistic Matching Engine (PME)-specific expectations: Be the main point of contact for the deduplication functionality in CDI Hub. Perform source system data profiling to establish baseline quality status, perform PME algorithm tuning, and conduct sample pair reviews. Define and maintain Survivorship and Suspect Action Rules within the MDM ecosystem.

Qualifications:

Bachelor's degree in Computer Science, Information Systems, Engineering, Statistics, or other related fields and 4+ yrs of proven experience in Business Information Analysis, Data Analysis, or similar field. A combination of education and experience may meet requirements. Familiarity/expertise in IBM Infosphere MDM's Probabilistic Matching Engine (PME) (or a similar function) is a plus, OR a strong commitment to undergo formal and on-the-job training to acquire these skills. Experience in complex business & data analysis, data mapping, data models, and APIs. Strong analytical, problem-solving, and troubleshooting skills with the ability to translate complex technical concepts to non-technical stakeholders. Excellent communication skills with the ability to lead small projects and work effectively across multiple departments.

Location:

This position is fully in office (5 days a week) at the Zions Technology Center - 7860 South Bingham Junction Blvd, Midvale, UT 84047 The Zions Technology Center is a 400,000-square-foot technology campus in Midvale, Utah. Located on the former Sharon Steel Mill superfund site, the sustainably built campus is the company's primary technology and operations center. This modern and environmentally friendly technology center enables Zions to compete for the best technology talent in the state while providing team members with an exceptional work environment with features such as: Electric vehicle charging stations and close proximity to Historic Gardner Village

UTA TRAX

station. At least 75% of the building is powered by on-site renewable solar energy. Access to outdoor recreation, parks, trails, shareable bikes and locker rooms. Large modern cafe with a healthy and diverse menu. Healthy indoor environment with ample natural light and fresh air. LEED-certified sustainable building that features include the use of low VOC-emitting construction materials.

Benefits:

Medical, Dental and Vision Insurance - START DAY ONE! Life and Disability Insurance, Paid Parental Leave and Adoption Assistance Health Savings (HSA), Flexible Spending (FSA) and dependent care accounts Paid Training, Paid Time Off (PTO) and 11 Paid Federal Holidays 401(k) plan with company match, Profit Sharing, competitive compensation in line with work experience Mental health benefits including coaching and therapy sessions Tuition Reimbursement for qualifying employees Employee Ambassador preferred banking products Apply now if you have a passion for impactful outcomes, enjoy working collaboratively with co-workers, and want to make a difference for the clients and communities we 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