Manager, Innovation Project

Job Description

Summary:

Leads the design, delivery and technical roadmap of digital learning solutions that improve skills development and business performance. This role defines product strategy, designs scalable architectures, evaluates and integrates emerging technologies (especially AI), and partners with L&D, HR, IT and business stakeholders to create measurable learning experiences and automation that drive adoption and outcomes.

Key responsibilities:

Product strategy & roadmap

• Define the product vision, strategy and multi-year roadmap for digital learning solutions (LXP, LMS, microlearning, virtual labs, coaching platforms, assessment engines).

• Prioritize features based on business impact, learner needs, technical feasibility and analytics.

• Translate L&D objectives into measurable product outcomes (engagement, completion, competency improvement, time-to-proficiency).

User research & experience

• Collaborate with learning designers, content teams and business SMEs to gather user needs, map learner journeys and define learning scenarios.

• Define personas, use cases, acceptance criteria and UX requirements for learners, managers, admins and facilitators.

• Prototype concepts and run validation experiments (A/B tests, pilot cohorts) to optimize experience and adoption.

Technical architecture & integration

• Design and own the technical architecture for learning systems: LMS/LXP, content repositories, assessment engines, single sign-on, identity & access, data pipelines and analytics layers.

• Define integration patterns and APIs for HRIS, talent management, CRM, ERP and external content providers.

• Ensure secure data flows, compliance with privacy laws (e.g., GDPR), and role-based authorization.

AI & emerging technology adoption

• Identify, evaluate and pilot AI capabilities to enhance learning: personalized recommendations, adaptive learning paths, AI tutoring/chat assistants, automated content generation, skill inference, automated assessments and learning analytics.

• Partner with data scientists/ML engineers to define datasets, model requirements, evaluation metrics (fairness, explainability, accuracy) and deployment strategy.

• Maintain awareness of vendor offerings (LMS/LXP vendors, AI platforms) and open-source options; recommend build vs buy decisions.

Delivery & lifecycle management

• Lead agile product delivery (scrum or similar) with cross-functional teams: engineers, ML/AI, designers, QA and L&D specialists.

• Define and track product backlogs, release plans, KPIs and feature adoption.

• Oversee content lifecycle and technical publishing workflows (SCORM, xAPI / Experience API, cmi5, LTI).

Data, analytics & measurement

• Define and implement learning analytics strategy: data model, xAPI event taxonomy, dashboards for managers and executives, cohort analysis and ROI modeling.

• Use data to measure learning effectiveness, skill progression and business impact; recommend iterative product improvements.

• Ensure instrumentation for A/B testing of features and personalized experiences.

Governance, security & compliance

• Establish governance for content, data access, model usage, and third-party integrations.

• Implement security best practices (encryption, least privilege) and vendor risk assessments.

• Ensure compliance with accessibility standards (WCAG) and internal policies.

Stakeholder management & change

• Act as product owner to senior stakeholders, HR/L&D leaders and business unit partners; communicate roadmap, trade-offs, and outcomes.

• Drive adoption through enablement plans, manager toolkits, onboarding flows and change management initiatives.

Required skills & experience

• Education: Bachelor's in Computer Science, Engineering, Human-Computer Interaction, Learning Sciences, or related field. Master's preferred for senior roles.

• Experience: 6+ years in product management or technical architecture roles; 3+ years focused on learning technology, HR tech, or education technology preferred.

• Technical skills: system design, API/integration architecture, cloud platforms (AWS/Azure/GCP), data engineering fundamentals, basic ML/AI understanding, familiarity with xAPI/SCORM/LTI.

• AI/ML: hands-on experience evaluating or deploying AI solutions (NLP/chatbots, recommendation systems, content generation, assessment scoring) and understanding of risks (bias, hallucination).

• Tools: familiarity with LMS/LXP vendors, analytics tools (Looker/Tableau/PowerBI), product management tools (Jira/Confluence), and data stacks.

• Communication: ability to translate technical trade-offs to non-technical stakeholders and build consensus.

Required Skills:

Emerging Technologies, Learning Analytics, Learning and Development (L&D), Product Lifecycle, Product Management, Project Planning, Resource Management, Skill Development, Stakeholder Management

Preferred Skills:

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Employee Status:

Regular

Relocation:

VISA Sponsorship:

Travel Requirements:

Flexible Work Arrangements:

Not Applicable

Shift:

Valid Driving License:

Hazardous Material(s):

Job Posting End Date:

02/28/2026

*A job posting is effective until 11:59:59PM on the day BEFORE the listed job posting end date. Please ensure you apply to a job posting no later than the day BEFORE the job posting end date.

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