Principal Business Information & Innovation Analyst

Pacific Northwest National Laboratory (PNNL) is hiring a Principal Business Information & Innovation Analyst to coordinate business information stewardship, governance, reporting, and analytics across its Business Services Directorate. The role partners with enterprise teams to guide responsible AI adoption, improve decision support, and align business stakeholders on information standards and accountability.

Responsibilities:

• Advise BSD stakeholders on business information stewardship, reporting, analytics, and information-enabled decision support within established governance and organizational frameworks
• Coordinate implementation and ongoing operation of BSD’s Business Information Stewardship model, including facilitating BIST and coordinating stewardship activities across BSD business functions
• Develop and maintain BSD business information standards, including business definitions and rules, KPI ownership and measurement expectations, intended use and audiences, and refresh requirements
• Manage BSD’s inventory of trusted business information products, including executive dashboards, operational reports, KPIs, business metrics, and recurring decision-support products
• Coordinate reporting governance, data-quality improvement, metadata practices, information product standards, and stewardship forums
• Clarify and align accountability among business owners, information stewards, architects, security partners, and technical implementation teams
• Analyze business needs and develop information requirements for dashboards, reports, KPIs, metrics, and other decision-support products
• Evaluate and prioritize reporting and analytics opportunities based on decision-making needs, business value, reuse potential, and organizational priorities
• Coordinate with enterprise analytics organizations to develop or modernize executive dashboards, operational reporting, semantic models, and trusted information products
• Coordinate BSD business readiness for ERP-enabled reporting and analytics transformation, including major enterprise system implementations
• Evaluate opportunities to improve reporting, analytics, automation, information quality, business processes, and workforce effectiveness through trusted information and enterprise capabilities
• Develop meaningful measures and review results to assess improvements in information quality, reporting effectiveness, reuse, decision support, workforce productivity, operational insight, and business value
• Coordinate responsible adoption of enterprise AI and other emerging capabilities for BSD business needs, partnering with appropriate enterprise organizations
• Analyze and evaluate AI use cases with business stakeholders and enterprise AI partners, considering business value, suitability, risks, and governance requirements
• Develop reusable AI prompts, business guidance, knowledge resources, and leading practices that support workforce productivity and responsible use of enterprise AI capabilities
• Facilitate discussions that help business stakeholders understand appropriate use, limitations, risks, and governance considerations associated with AI-enabled solutions
• Coordinate with Information Technology, enterprise architecture, security, privacy, records management, and other partners to address applicable requirements
• Develop executive briefings, business analyses, recommendations, roadmaps, performance reports, governance materials, and organizational communications
• Analyze complex business information, reporting, analytics, governance, and innovation issues; present findings and recommendations to senior leaders
• Facilitate cross-functional governance teams, stewardship forums, workshops, and requirements discussions
• Coordinate collaborative partnerships across BSD and enterprise organizations, influencing outcomes through facilitation, business analysis, stewardship, and trusted relationships rather than direct operational authority
• Align stakeholders on accountability for business ownership, stewardship, architecture, security, and technical implementation
• Communicate complex business and technical issues clearly to executive, business, and technical audiences

Requirements:

• BS/BA and 9 years of relevant data analyst or AI adoption experience
• MS/MA or higher and 7 years of relevant data analyst or AI adoption experience
• Experience with Oracle Cloud ERP, HCM, SAP Concur, or comparable enterprise business platforms
• Experience within the U.S. Department of Energy national laboratory complex
• Experience establishing or operating business information stewardship, data governance, reporting governance, or analytics governance models
• Experience facilitating cross-functional governance teams, stewardship forums, workshops, or requirements discussions involving multiple business organizations
• Experience developing enterprise business information standards, metadata practices, information product inventories, business definition frameworks, KPI frameworks, or reporting lifecycle standards
• Experience supporting ERP-enabled reporting or analytics transformation, including business readiness for major enterprise system implementations
• Experience developing or modernizing executive dashboards, operational reporting, semantic models, or trusted information products
• Experience evaluating and prioritizing analytics and reporting portfolios based on decision-making needs, business value, reuse potential, and organizational priorities
• Experience developing reusable AI prompts, business guidance, knowledge resources, or leading practices that support workforce productivity and responsible adoption of enterprise AI
• Experience advising stakeholders on the appropriate use, limitations, risks, and governance requirements of AI-enabled solutions