AI Product Strategist

Nelnet•Lincoln, NE

1d•$100,000 - $130,000

About The Position

The Lead AI Product Strategist develops and advances strategies for applying artificial intelligence, machine learning, automation, and data capabilities to customer-facing products and internal product-development processes. The role identifies high-value AI opportunities, translates business and customer needs into product direction, and leads cross-functional initiatives from discovery through implementation. It also improves product operations by creating scalable, transparent, and auditable workflows that turn structured and unstructured data into actionable inputs. The position serves as a subject-matter resource on emerging AI capabilities, responsible AI adoption, security, privacy, and regulatory considerations. Nelnet Business Services (NBS), a division of Nelnet, Inc., provides payment technology and education services to higher education institutions, K-12 schools, and individuals around the world. Its culture emphasizes service, trusted partnerships, creativity, and innovative solutions.

Requirements

Bachelor’s degree in product management, business, information systems, computer science, data science, engineering, economics, or a related field; equivalent relevant experience may be considered.
At least 5 years of experience in product management, product strategy, business analysis, digital product development, data products, automation, or a related discipline.
Strategic thinking.
AI literacy and prompt engineering.
Business process modeling and optimization.
Data fluency.
Cross-functional leadership.

Nice To Haves

Graduate degree, advanced coursework, or relevant certification in product management, artificial intelligence, data science, information systems, agile product development, or responsible AI.
Experience with end-to-end process automation, AI assistants, agentic workflows, multi-agent systems, classification models, platform products, APIs, developer tools, payments, financial technology, or other regulated digital ecosystems.
Experience operating independently in a regulated or risk-sensitive environment and incorporating privacy, security, compliance, and governance considerations into product decisions.

Responsibilities

Develop AI product strategies and roadmaps aligned with customer needs, business objectives, technology capabilities, and organizational priorities.
Identify and evaluate opportunities to integrate artificial intelligence, machine learning, intelligent decisioning, and automation into products and product-development processes.
Lead cross-functional AI product initiatives from discovery and problem definition through prioritization, implementation, measurement, and continuous improvement.
Design and optimize multi-stage workflows that transform structured and unstructured information into product insights, recommendations, and business decisions.
Partner with product, business, data, risk, compliance, design, and technology stakeholders to assess feasibility, dependencies, customer impact, and implementation risk.
Evaluate emerging AI technologies, industry developments, competitors, and changing customer expectations to inform product positioning and investment decisions.
Assess security, privacy, regulatory, ethical, authentication, authorization, and fraud-related considerations associated with AI-enabled products.
Build and maintain reusable knowledge, documentation, decision records, and operating frameworks that support transparency, auditability, and organizational adoption.
Measure and communicate product outcomes, workflow efficiency, adoption, risk, and strategic value to business leaders and cross-functional stakeholders.