Senior Program Manager, AI Enablement

Topcon Positioning Group is headquartered in Livermore, California, USA (topconpositioning.com).

We design, manufacture and distribute productivity tools for developing a brighter future. Whether cultivating the earth or building upon it, Topcon brings innovation in workflow automation and seamless connectivity of data to construction, geopositioning and agriculture industries focused on developing a sustainable tomorrow.

Topcon is an equal opportunity employer and does not discriminate against any employee or applicant on the basis of race, color, religion, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, genetic information, or other legally protected status.

To  learn more about Topcon career opportunities go to  www.topconcareers.com.

Summary

Topcon Positioning Systems is seeking a Senior Program Manager, AI Enablement to facilitate enterprise AI initiatives across the organization. This role is responsible for driving the safe, scalable, and value-focused adoption of AI technologies by establishing governance frameworks, operating standards, enablement programs, and measurable business outcomes.

This role will serve as a trusted advisor to business and technical teams, translating AI strategy into structured, repeatable programs that align with the company’s enterprise AI roadmap. The role requires balancing innovation with governance, ensuring AI technologies deliver measurable value while managing risk, compliance, and operational impact.

This is a highly visible senior individual contributor role with enterprise-wide scope and regular interaction with Senior Management level leadership.

Responsibilities

• Lead execution of enterprise AI initiatives across multiple business functions

• Convert approved AI use cases into structured programs with defined scope, milestones, dependencies, and delivery plans

• Ensure predictable, repeatable execution aligned with the enterprise AI roadmap

• Establish standards, guardrails, and practical guidance for AI usage across the organization

• Partner with HR to support AI literacy, training, and safe-use enablement programs

• Serve as a trusted advisor to teams adopting AI tools and solutions

• Drive business-focused AI adoption centered on measurable outcomes

• Define and track program-level ROI, including cost savings, productivity gains, and revenue impact

• Partner with business leaders to establish baseline metrics and post-deployment success measurements

• Prepare executive-level updates on program progress, outcomes, risks, and business impact

• Ensure accountability for delivery outcomes and measurable value realization

• Own the enterprise AI Enablement operating model in partnership with AI Champions across the organization

• Establish intake, prioritization, and sequencing processes for AI use cases based on ROI, scalability, and strategic alignment

• Translate AI policies into clear, practical guidance for employees and leadership teams

• Partner closely with Legal, HR, and IT Security to ensure responsible and compliant AI adoption

• Lead standardization of AI program templates, reporting, governance processes, and best practices

• Ensure AI usage aligns with approved tools, architectural standards, data handling requirements, and enterprise security policies

• Support governance across AI risk domains including data privacy, security, bias, IP protection, and regulatory considerations

• Act as the connective tissue between business leaders, technical teams, and executive stakeholders

• Drive transparency, alignment, and execution discipline across Product Delivery, Revenue Generation, and Business Performance functions

• Support enterprise-wide adoption and change management efforts related to AI enablement

• Reinforce a culture of responsible, scalable, and value-driven AI adoption

Qualifications

• 10+ years of experience in digital transformation, technology enablement, enterprise program management, or related fields

• Demonstrated experience supporting or leading enterprise AI initiatives, including generative AI and automation programs

• Strong understanding of AI and machine learning concepts including large language models, data pipelines, model lifecycle management, and AI-enabled productivity solutions

• Experience defining, measuring, and reporting b