AI Transformation Lead

• Partner with business leaders, process owners, and employees to identify AI opportunities in high-friction, repetitive, information-heavy, delayed, or error-prone work.
• Analyze business processes, handoffs, systems, data dependencies, decisions, exceptions, and user workflows to determine where AI, automation, embedded platform capabilities, or process redesign can create value.
• Manage the enterprise AI opportunity backlog, including intake, prioritization, stage-gate progression, status, risks, dependencies, decisions, and actions.
• Identify opportunities to consolidate overlapping AI tools, redundant pilots, vendors, and use cases to reduce duplication, cost, technical debt, and unmanaged AI proliferation.
• Shape AI pilots and experiments with hypotheses, target users, success measures, business and technical owners, governance requirements, adoption plans, and decision criteria.
• Develop business cases and value hypotheses for prioritized opportunities, including expected benefits, implementation and operating costs, adoption assumptions, baselines, risks, and success criteria.
• Coordinate prototypes and pilots that test AI capabilities against business needs, actual users, available data, system constraints, and operational realities.
• Evaluate solution options across business value, user experience, accuracy, security, privacy, cost, integration complexity, supportability, scalability, vendor maturity, and risk.
• Lead or support build vs. buy vs. configure vs. automate evaluations, especially across Microsoft 365 Copilot, Power Platform, Microsoft Fabric, Dynamics 365, Azure AI, embedded platform capabilities, and third-party vendor solutions.
• Work with technical teams, data owners, application owners, Information Security, Legal, Privacy, and AI Operations to ensure AI solutions are governed appropriately.
• Drive adoption through demonstrations, guidance, office hours, departmental champions, communication, training, and feedback loops.
• Translate AI activity into measurable outcomes such as cycle-time reduction, productivity, quality, throughput, backlog reduction, cost avoidance, margin improvement, customer experience, or employee experience.
• Track realized value after implementation to determine whether expected benefits are achieved and whether additional adoption, process, or solution changes are needed.
• Recommend whether AI initiatives should scale, continue, change direction, defer, or stop based on evidence, value, readiness, risk, and organizational capacity.
• Support operational handoff of successful AI capabilities with ownership, documentation, monitoring, support model, access controls, cost controls, and recurring value reviews.
• Prepare portfolio updates, recommendations, decision packages, risks, blockers, and value-realization summaries for leadership and the AI Strategy Team.

• 7+ years experience in technology, transformation, product/program management, business process improvement, automation, analytics, AI-enabled transformation, or related disciplines.
• 3+ years leading complex cross-functional initiatives involving business stakeholders, technical teams, operational users, governance functions, and executive sponsors.
• Analyze business processes, clarify ambiguous problems, identify root causes, and translate business needs into practical solution options.
• Working knowledge of enterprise AI capabilities, limitations, and common implementation patterns, including copilots, agents, automation, AI-enabled applications, data-driven workflows, and human-in-the-loop review.
• Demonstrated experience evaluating, prototyping, deploying, or operationalizing AI-enabled solutions, including generative AI, copilots, agents, intelligent automation, embedded application intelligence, or AI-enabled business workflows.
• Demonstrated product-management or program-management discipline, including backlog management, stakeholder alignment, prioritization, experiment design, stage-gate execution, and outcome measurement.
• Ability to develop business cases, value hypotheses, success measures, baselines, adoption assumptions, and post-implementation value reviews.
• Ability to communicate credibly with executives, business stakeholders, technical teams, security teams, data owners, and frontline users.
• Strong judgment in balancing innovation with security, privacy, compliance, cost, supportability, user adoption, and business value.
• Excellent facilitation, written communication, presentation, and stakeholder-influence skills.

• Experience with Microsoft 365 Copilot, Power Platform, Dynamics 365, Power BI, Microsoft Fabric, Azure AI services, or similar enterprise AI and automation platforms.
• Experience working with data, integrations, APIs, enterprise applications, identity and access management, or solution architecture teams.
• Experience leading change adoption, training, communications, or enablement for new technology capabilities.
• Experience with vendor assessments, solution comparisons, build/buy/configure decisions, enterprise platform rationalization, business cases, value hypotheses, pilot charters, governance documentation, or post-implementation reviews.

• AI opportunities are evaluated through a clear, repeatable intake and prioritization process.
• Time from opportunity intake to pilot decision improves as the portfolio process matures.
• Pilots have defined owners, outcomes, governance requirements, adoption plans, and decision criteria.
• Prioritized pilots reach clear scale, continue, change, defer, or stop decisions based on evidence and defined criteria.
• Successful AI capabilities move from prototype to supported operational use.
• Adoption and utilization of deployed AI capabilities are measured and actively managed with business owners.
• AI initiatives produce verified business, operational, customer, or employee-experience value, including hours saved, cost avoided, cycle time reduced, quality improved, throughput increased, backlog reduced, revenue supported, or margin improved.
• Realized value is tracked against forecast value, assumptions, costs, and adoption expectations.
• Production AI capabilities have defined ownership, monitoring, documentation, access controls, support model, cost controls, and recurring value reviews.

OPEX Corporation is more than a manufacturer of machines.

We continuously reimagine technology to power the future for our customers.

With an innovative approach, we engineer unique automated solutions that support our customers so they can solve the most pressing business challenges for both today and tomorrow.

Our scalable Warehouse, Document, and Mail Automation solutions improve workflow, accelerate change, and drive efficiencies in infrastructure.

We are a family-owned and operated organization with more than 1400 committed employees who innovate, manufacture, install, and service products that are helping transform industry every day.

We listen to our customers, respect each other, and work together to help reimagine the future through automated solutions.

At OPEX, we are Next Generation Automation.

Benefits include, but are not limited to:

• Full medical, dental and vision with low employee contribution rates
• Paid holidays and PTO allowance
• 401k with matching and profit sharing
• Basic life insurance, short term and long-term disability
• On-site fitness facility
• Tuition reimbursement available

OPEX Corporation is an Equal Opportunity/Affirmative Action Employer, without regard to race, color, religion, sex, national origin, age, disability, and protected veteran status.