Senior Data & AI Tech Product Lead

Jobtailor; Little Rock (AR); On-site; USD 90,000 - 120,000; Full time

Job summary

Jobtailor is seeking a Data & AI Product Manager to lead enterprise PM framework and portfolio governance in a data-driven organization. You will own strategy, roadmaps, and value realization for Data-as-a-Product, coordinating with engineering, risk, and business stakeholders.

The role requires 5+ years of PM experience, strong SQL/analytics capability, and proficiency with Jira, Confluence, and Azure DevOps.

Qualifications

• BS/BA degree.
• 5+ years relevant experience.
• Proficiency with Jira, Confluence, and Azure DevOps (ADO).
• Strong PM practices, methodologies, and lifecycle management.
• Ability to develop strategic product roadmaps and investment plans.
• Ability to translate complex problems into actionable product requirements.
• Strong financial acumen, including ROI analysis and value measurement.
• Influence stakeholders and build consensus across business and technology teams.
• Excellent presentation, facilitation, and communication skills.

Responsibilities

• Establish and lead the enterprise Data & AI Product Management framework, including governance, success metrics, Data-as-a-Product standards, AI lifecycle management, Responsible AI practices, and value realization processes.
• Establish and manage the Data & AI product intake and demand management process.
• Evaluate requests, prioritize initiatives, and align investments with strategic objectives, resources, and value.

Skills

Product management

Stakeholder engagement

Agile delivery

Strategic thinking

Communication

Analytical skills

Leadership

Education

BS/BA degree

Tools

Jira

Confluence

Azure DevOps

Job description

• Establish and lead the enterprise Data & AI Product Management framework, including product governance, success measurement, Data-as-a-Product standards, AI lifecycle management, Responsible AI practices, and value realization processes
• Establish and manage the Data & AI product intake and demand management process
• Evaluate requests, prioritize initiatives, and align investments with strategic objectives, resource capacity, and business value
• Define and maintain the Data & AI product strategy, roadmap, and investment priorities
• Champion Data-as-a-Product principles and manage a portfolio of enterprise data products
• Own the AI product portfolio lifecycle, including opportunity identification, business case development, experimentation, value measurement, adoption, and retirement
• Develop business cases, success metrics, KPIs, adoption measures, and value realization frameworks
• Partner with Data & AI Engineering and business stakeholders to translate business needs into prioritized product backlogs, requirements, features, and delivery plans
• Lead stakeholder engagement across business units, driving alignment, transparency, and adoption
• Facilitate collaboration among technology, analytics, operations, and business teams
• Evaluate emerging technologies, industry trends, competitive offerings, and AI innovations
• Partner with Risk, Compliance, Information Security, and Governance teams to ensure adherence to applicable policies, standards, and regulatory requirements
• Develop executive communications, presentations, training materials, and reporting

Requirements

• BS/BA degree
• 5+ years relevant experience
• Demonstrated experience using Jira, Confluence, and Azure DevOps (ADO)
• Strong understanding of product management practices, methodologies, and lifecycle management
• Ability to develop and communicate strategic product roadmaps and investment plans
• Ability to analyze complex business problems and translate them into actionable product requirements
• Strong financial acumen, including development of business cases, ROI analysis, and value measurement
• Ability to influence stakeholders and build consensus across business and technology teams
• Excellent presentation, facilitation, and communication skills with audiences ranging from working teams to executive leadership
• Strong analytical and decision-making skills
• Ability to manage multiple priorities in a fast-paced environment
• Ability to effectively present complex technical concepts in business-friendly language
• Effective negotiation, relationship management, and stakeholder engagement skills
• Proficiency with MS Office programs
• Experience identifying, prioritizing, and delivering AI and Generative AI use cases that create measurable business value
• Understanding of Large Language Models (LLMs), Retrieval Augmented Generation (RAG), AI agents, model evaluation, prompt engineering, and AI product adoption strategies
• Experience translating AI capabilities into business outcomes and operational processes
• Ability to manage multiple projects with a sense of urgency to meet expected deadlines
• Comfort and ability to present to senior leadership and train sales leadership
• Ability to collaborate with multiple partners across the bank, create effective challenge, and build consensus across a common goal
• Strong problem-solving and analytical skills
• Experience working in Agile delivery environments
• Self-motivated with a strong focus on quality, reliability, and continuous improvement

Core Competencies

Demonstrates expertise in Data & AI Product Management, including the development of product strategies, roadmaps, and governance frameworks. Proficient in translating complex business needs into actionable product requirements while ensuring adherence to compliance and regulatory standards.

Highest-signal resume keywords

• Data & AI Product Management
• Business Case Development
• Stakeholder Engagement
• Agile Delivery
• AI Product Adoption Strategies

Hard Skills

• Product Management Practices
• Business Analysis
• Financial Acumen
• AI Lifecycle Management
• Data-as-a-Product Standards
• Large Language Models (LLMs)
• Jira
• Confluence
• Azure DevOps (ADO)
• KPI Development

Soft Skills

• Excellent Communication Skills
• Strong Analytical Skills
• Problem-Solving Skills
• Negotiation Skills
• Relationship Management

Industry Keywords

• Responsible AI Practices
• Value Realization Processes
• Compliance Standards
• Risk Management
• AI Innovations

Tools & Technologies

• MS Office Programs
• Data & AI Engineering Tools
• Presentation Software
• Reporting Tools