AI Governance & Adoption Lead – AI Portfolio & Enablement (MS Solutions) - 80/hr Hybrid

AI Governance & Adoption Lead – AI Portfolio & Enablement (MS Solutions) - 80/hr Hybrid

Own AI portfolio standardization, including use case taxonomy, naming, positioning, and lifecycle

governance

Define and execute communications and adoption strategies for Copilot and enterprise AI services

Develop and curate enterprise AI use cases, patterns, and success stories aligned to business priorities

Drive user adoption through establishing/coordinating multi-channel enablement (training, learning paths, campaigns, community)

Business and stakeholder engagement, feedback collection, and technical translation to facilitate the best adoption paths within the organization.

Must Haves

Experience leading AI or M365 product adoption at enterprise scale

Strong background in governance frameworks for digital or AI portfolios

Proven ability to translate technical AI capabilities into business ready use cases

Experience designing communications, training, and change programs for diverse user groups

Strong stakeholder management and executive communication skills

Nice to Haves

Experience with Copilot for Microsoft 365 adoption or large productivity transformations

Familiarity with change management and learning methodologies (champion programs, communities of practice)

Experience working with Corporate Communications or Marketing teams

Exposure to AI governance, privacy, or responsible AI principles

Global enterprise or regulated-industry experience

Position Scope:

Accelerates and supports the ongoing activities in the field of IT Innovation and Emerging Technologies. Identifies and defines applications of emerging technologies to address business relevant challenges.

Designs and implements prototypes of applications including front- / back-end and machine learning components. Works with different company business units to understand the business demands with respect to Innovation and Emerging Technologies. Conducts advanced software engineering, analytical tasks, data preparation, machine learning models to enable company to improve its IT products, services, and processes

Position Responsibilities:

Analyzes business critical data / processes and recommends improvements / highlights opportunities. Works with complex data / optimization / design problems and conducts advanced analytics tasks.

Assess the effectiveness and accuracy of data sources and data gathering techniques.

Works with stakeholders throughout the organization to identify opportunities for leveraging company data to drive business solutions.

Works in collaboration with internal and external teams to identify opportunities for innovation and transition them to prototype and industrialization phase.

Develops custom data models and algorithms.

Coordinates with different functional teams to implement solutions.

Serves as internal consultant to other developers and engineers as needed, providing assistance in all phases of product life-cycle development.

Advises developers and engineers on emerging IT technologies and assists the team in process matters as related to development/support and provides the necessary on the job training and development of associates/contractors within the team.

Maintains accurate, meaningful, and updated technical and non-technical documentation pertaining to all aspects of area(s) of responsibility.

Clearly communicates requirements, progress, goals, and results to business partners with various levels of technical knowledge.

Performs other duties as assigned by the Operations Supervisor.