Assistant Director, Enterprise AI & Analytics Consulting

Principal Financial Group•Des Moines, IA

6d•Hybrid

About The Position

We’re looking for an Assistant Director of Enterprise AI & Analytics Consulting to join our Enterprise Data & Analytics (EDA) team. In this role, you’ll shape and advance a portfolio of AI and analytics opportunities that drive meaningful business outcomes across the enterprise. You'll have the opportunity to Own and maintain an enterprise-level backlog of AI and analytics opportunities across innovation, execution, and business-led initiatives, ensuring alignment to enterprise strategy and value priorities Proactively partner with business and technical teams to identify and shape AI and analytics opportunities, turning ambiguous ideas into execution-ready use cases with clear requirements and success measures. Lead intake, prioritize against strategic value, and guide initiatives through the product lifecycle to deliver measurable outcomes Establish and lead portfolio governance processes for intake, evaluation, prioritization, and lifecycle management of AI use cases Build and communicate clear value cases for initiatives, including expected business impact, ROI, KPIs, and success metrics to support investment and prioritization decisions Guide portfolio vision, product discovery, and roadmap development, ensuring strong integration with broader enterprise AI strategy and priorities Drive end-to-end visibility into AI portfolio performance and value realization, using data to monitor progress, influence decisions, and continuously refine priorities Collaborate across business, data, technology, and delivery teams to ensure solutions are feasible, aligned, and positioned to create measurable impact Operating at the intersection of financial services and technology, Principal builds financial tools that help our customers live better lives. We take pride in being a purpose-led firm, motivated by our mission to make financial security accessible to all. Our mission, integrity, and customer focus have made us a trusted leader for more than 140 years.

Requirements

Bachelor’s degree in business, analytics, technology, or a related field
7+ years of related experience in an enterprise environment
Experience leading or contributing to enterprise portfolios, backlogs, or innovation pipelines, ideally within AI, analytics, data, or digital-focused work
Ability to lead and translate complex or ambiguous business problems into well-defined, execution-ready opportunities
Experience developing business cases, defining KPIs, and measuring value realization for data, analytics, or AI initiatives
Strong analytical and problem-solving skills, including the ability to synthesize large amounts of information into clear recommendations
Comfort working across multiple stakeholders and functions, influencing priorities and decisions at different levels of the organization
Excellent communication and presentation skills, with the ability to tell a clear story with data and ideas
Curious, adaptable, strategic thinker, and have a continuous improvement approach

Nice To Haves

Experience working with AI, advanced analytics, or enterprise data initiatives
Familiarity with portfolio governance, product discovery, and roadmap planning
Strong understanding of value measurement frameworks such as ROI, business case development, and KPI design

Responsibilities

Own and maintain an enterprise-level backlog of AI and analytics opportunities across innovation, execution, and business-led initiatives, ensuring alignment to enterprise strategy and value priorities
Proactively partner with business and technical teams to identify and shape AI and analytics opportunities, turning ambiguous ideas into execution-ready use cases with clear requirements and success measures. Lead intake, prioritize against strategic value, and guide initiatives through the product lifecycle to deliver measurable outcomes
Establish and lead portfolio governance processes for intake, evaluation, prioritization, and lifecycle management of AI use cases
Build and communicate clear value cases for initiatives, including expected business impact, ROI, KPIs, and success metrics to support investment and prioritization decisions
Guide portfolio vision, product discovery, and roadmap development, ensuring strong integration with broader enterprise AI strategy and priorities
Drive end-to-end visibility into AI portfolio performance and value realization, using data to monitor progress, influence decisions, and continuously refine priorities
Collaborate across business, data, technology, and delivery teams to ensure solutions are feasible, aligned, and positioned to create measurable impact