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techolution · 2 hours ago

Sr Business Process Program Manager - ROI

Ridgewood, NJ

Full-time

Hybrid

Senior Level

Techolution is revolutionizing how enterprises achieve measurable ROI from AI. They are seeking a Sr Business Process Program Manager - ROI to enforce BPA 4.0 standards, quantify ROI, and ensure projects deliver real business value.

Big DataConsultingInformation Technology

Responsibilities

Transform ambiguous requirements into structured, repeatable processes with built-in decision gates

Lead math-driven evaluations of projects at the outset, calculating manual effort costs, break-even timelines, potential savings, and economic impact

Collaborate with sales and proposal teams to integrate these into client proposals

Stop or redesign initiatives that don’t justify ROI, using data to influence stakeholders—including senior leaders—and push back on requests to proceed without clear ROI

Break down work into precise components (people, hours, steps, costs) for accurate forecasting

Tie estimations to project initiation to prevent underestimation and premature execution in AI automation projects

Apply 5 Whys, and Six Sigma principles to identify and resolve systemic issues

Reduce process variation and deliver measurable outcomes in real-world AI implementations, focusing on 2x+ efficiency gains

Conduct critical questioning to clarify vague client needs upfront, minimizing waste from poorly defined problems

Drive adoption of BPA 4.0 standards, handle resistance, and institutionalize best practices organization-wide, ensuring smooth handover to delivery teams and oversight through to KPI achievement

Advise on where AI and automation add value—without over-reliance on tools—ensuring human oversight in stakeholder interactions and alignment with BPA 4.0's workflow mindset

Qualification

Process EngineeringROI-First Decision MakingSix SigmaApplied MathematicsChange ManagementEffort EstimationRequirements DiscoveryAI/Automation AwarenessExecutive DashboardingAI Project Experience

Required

Process Engineering & Systems-Level Thinking: Proven ability to convert ambiguity into repeatable, enforceable processes across teams. Designs decision gates, not one-off fixes, with a focus on workflow-oriented approaches in AI/automation contexts

ROI-First Decision Making (Math-Driven): Expertise in quantifying manual effort, costs, break-even points, and economic impact before execution. Will stop or redesign work that doesn't justify ROI, integrating these into sales and proposal stages, and challenging initiatives without clear value

Six Sigma: Must have real-world experience applying Six Sigma principles reducing variation, optimizing processes, and delivering measurable business outcomes—not just certification. Experience in IT/AI preferred, but manufacturing backgrounds considered if adaptable to tech workflows

Applied Mathematics & Quantitative Reasoning: Strong command of applied math (algebra, estimation, basic optimization) for daily use in capacity planning, ROI modeling, KPI validation, and early project tying

Change Management & Process Enforcement: Track record of driving adoption, handling resistance, and preventing regression. Turns process standards into a standard, not a suggestion, including handover to delivery and KPI delivery

Effort Estimation & Capacity Modeling: Accurately breaks work into people, hours, steps, and costs. Prevents premature execution and under-estimated delivery, with emphasis on early integration

Requirements Discovery & Critical Questioning: Asks the right questions upfront, challenges vague requirements, and ensures clarity before committing resources. Prevents waste from poorly defined problems

AI / Automation Context Awareness: Understands where automation and AI help—and where they don't—without being tool-obsessed, with familiarity in applying to business workflows

Preferred

Executive Dashboarding & KPI Governance: Ability to design leadership dashboards that reflect truth, not vanity metrics, tracking committed sales KPIs

Experience in AI Project Environments: Focus on tying executions to business value, sales support, pre-sales collaboration, and building AI agents for process efficiency