Data Product Owner (x2) - Digital Product Manager 4

Mindlance

CHANDLER, AZ

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JOB DETAILS

SKILLS

Acceptance Testing, Agile Programming Methodologies, Analysis Skills, Application Programming Interface (API), Artificial Intelligence (AI), Backlog Prioritization, Bug Tracking/Defect Management, Business Analysis, Commercial Banking, Communication Skills, Cross-Functional, Data Analysis, Data Mapping, Data Profiling, Data Quality, Data Science, Decision Support, Delivery Driving, Develop Methodologies, Financial Services, JSON, MongoDB, NCR Teradata, NoSQL, Operational Support, Product Management, Product Support, Requirements Management, Requirements Validation/Verification, Risk Analysis, SQL (Structured Query Language), SQL Databases, Software Development Lifecycle (SDLC), Spatial Data, Sprint Planning, System Integration (SI), Test Requirements, Use Cases, User Interface/Experience (UI/UX)

LOCATION

CHANDLER, AZ

POSTED

30+ days ago

Seeking a Business Execution Consultants to support Generative AI (GenAI) initiatives within Commercial Banking. This hybrid role combines product management, business analysis, and data analysis to help deliver AI-enabled solutions that drive business outcomes.
The ideal candidate will work closely with business stakeholders, product teams, technology, data engineering, analytics, and data science partners to translate business needs into scalable product capabilities. Success in this role requires strong product ownership, analytical thinking, data proficiency, and the ability to drive execution across complex, cross-functional initiatives.
Key Responsibilities
Product Management & Delivery
Support backlog management, prioritization, and sprint planning activities.
Translate business needs into user stories, requirements, and acceptance criteria.
Break down features into actionable work across technology, data, and analytics teams.
Partner with engineering, UX, and data teams to deliver scalable solutions.
Coordinate testing, UAT, release validation, and defect management.
Identify risks, dependencies, and delivery challenges, and drive resolution.
Data Analysis & Requirements
Analyze business, customer/profile, and operational data to support product decisions.
Perform data profiling, validation, and quality assessments.
Create and maintain source-to-target mappings and integration requirements.
Use SQL and other analytical tools to investigate issues, validate requirements, and support decision-making.
Define data and testing requirements for APIs, integrations, and GenAI use cases.
Stakeholder Management
Partner with business, product, technology, analytics, and data science teams to align priorities and drive execution.
Facilitate discussions, document decisions, and communicate progress, risks, and dependencies.
Maintain project documentation, requirements, and key deliverables.
Required Qualifications
Experience in Product Management, Business Analysis, Data Analysis, or related disciplines.
Strong experience translating business requirements into user stories and actionable solutions.
Hands-on SQL experience and strong analytical problem-solving skills.
Experience with data mapping, data quality validation, APIs, and system integrations.
Understanding of Agile delivery methodologies and software development lifecycles.
Experience collaborating with business stakeholders, engineering teams, and data partners.
Strong communication, organization, and stakeholder management skills.
Technical Skills
SQL and/or NoSQL databases
Teradata, MongoDB, or similar platforms
APIs, JSON, Swagger, and integration concepts
Data profiling, mapping, and validation
JIRA, Postman, and Figma
Agile delivery practices
Preferred Qualifications
Experience supporting AI, ML, or GenAI products.
Familiarity with LLMs, prompt engineering, and Responsible AI principles.
Experience working with customer/profile data, geospatial/map data, and complex enterprise data environments.
Financial Services experience preferred.
Ideal Candidate
A highly analytical and execution-focused professional who can bridge business, product, data, and technology teams. This individual is comfortable defining product requirements, analyzing data, working directly with engineering and data science teams, and driving delivery of complex GenAI initiatives.

EEO:

Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans.

About the Company

Mindlance

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Data Product Owner (x2) - Digital Product Manager 4

Mindlance

CHANDLER, AZ

About the Company

Mindlance

Resume Resources

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