Engineering Operations Analyst, Senior

Role overview

Program planning and delivery

• Manage the AI portfolio, roadmap, milestones, dependencies, risks, and success measures; move initiatives from concept and pilot through rollout and operational scaling.
• Coordinate engineering, product, operations, IT, security, legal, procurement, and business stakeholders; facilitate governance reviews, steering committees, and status meetings.
• Create AI adoption strategies, communications, training, enablement, stakeholder engagement, and repeatable deployment frameworks.
• Ensure initiatives follow corporate policies, legal requirements, privacy standards, and security guidelines; collaborate on technology and vendor evaluation and contracts.

Measurement and market adoption

• Define KPIs and track adoption, productivity, ROI, customer impact, and operational outcomes; develop executive dashboards and reports and improve programs using data.
• Partner with GTM, Marketing, Communications, Product, and business teams to increase awareness, adoption, and effective use of AI initiatives.
• Develop targeted campaigns and messaging, and showcase AI use cases, success stories, productivity improvements, and customer outcomes.

Minimum qualifications

• Bachelor’s degree and 2+ years of Engineering Operations or related experience; or associate’s degree and 4+ years; or high school diploma/equivalent and 6+ years.
• Completed relevant master’s or doctoral degrees may substitute for up to one or two years of experience, respectively.

Preferred qualifications

• Bachelor’s degree in Engineering, Computer Science, Business, Information Systems, or a related field.
• 3+ years leading enterprise-wide technology, digital transformation, automation, or AI initiatives.
• Experience managing cross-functional programs involving multiple stakeholders.