Manager Data Intelligence

Manager Data Intelligence

(Draper, UT, In‑Office)

We are seeking an experienced and technically strong Data, Knowledge, and Intelligence Manager to lead the planning, design, development, and delivery of enterprise data intelligence products. This role acts as the bridge between business stakeholders, product managers, and engineering teams by translating business needs into scalable data solutions. The ideal candidate combines strong data architecture, technical leadership, experience in enterprise data products management, familiarity with Generative AI, LLMs, and agentic AI concepts, and Agile delivery skills to ensure high‑quality, dependable, and scalable data intelligence products.

• Partner with business VPs, Directors, users, product managers, and leadership teams to understand business needs and develop use cases and requirements for enterprise data, knowledge, and intelligence products.
• Facilitate requirement discovery workshops and stakeholder discussions.
• Drive alignment between business priorities and data product roadmaps.
• Evaluate and prioritize Generative AI, predictive analytics, machine learning, and intelligent automation use cases.
• Act as the primary liaison between business and data/technical teams.
• Translate roadmaps, business use cases, and requirements into actionable deliverables and guide the creation of clear functional and technical specifications.

• Deliver trusted data and intelligence products and self‑service capabilities to business users.
• Enable data‑driven decision‑making through dashboards, insights, and AI‑powered capabilities and solutions.
• Promote data literacy and AI adoption across the organization.

• Define and provide architecture and solution guidance for enterprise data, knowledge, and intelligence products.
• Ensure solutions align with established data architecture standards, design patterns, and engineering frameworks.
• Review solution designs to ensure scalability, performance, governance, security, and reusability.
• Collaborate with architects and engineering teams to establish best practices and technical standards.

• Develop and manage product backlogs, roadmaps, and release plans; act as the de‑facto portfolio/product manager and create/manage Jira epics, features, user stories, tasks, and acceptance criteria based on business requirements.
• Prioritize features based on business value, customer impact, and strategic alignment; define product requirements, user stories, acceptance criteria, and success metrics.
• Lead sprint planning, backlog grooming, sprint reviews, and retrospectives.
• Ensure requirements are clearly documented and understood by development teams.
• Monitor project progress and proactively manage risks, dependencies, and escalations.

• Ensure data products comply with regulatory, privacy, security, and compliance requirements.
• Drive metadata management, data lineage, cataloging, and discoverability initiatives.
• Leverage AI where possible to implement data governance capabilities and solutions.
• Monitor and improve data reliability, accuracy, consistency, and trustworthiness.

• Develop quarterly resource and capacity plans based on current project commitments, strategic priorities, and future demand.
• Evaluate team utilization and forecast staffing requirements.
• Partner with leadership to prioritize work and optimize resource allocation.
• Support budget planning and workforce planning activities.

• Conduct architecture, design, and code reviews to ensure adherence to standards and best practices.
• Verify the quality, performance, reliability, and maintainability of data products.
• Drive implementation of data quality, testing, monitoring, and operational excellence practices.
• Establish and enforce coding standards, development frameworks, and governance processes.

• Foster a culture of experimentation, innovation, and AI‑driven problem solving.
• Mentor teams on product…