Senior Associate, Business Product Management - Product, SPX Express (AI)

1. Process Discovery & Optimization (BPM Core)

Own end-to-end business processes (As-is vs To-be) across Workforce, Finance, Risk.

Identify bottlenecks, inefficiencies, and improvement opportunities

Break down complex business problems into structured, solvable components.

Redesign workflows with a product mindset, focusing on user experience (Ops, staff, stakeholders).

Drive outcomes to closure, not just design - track execution, unblock issues, and hold timeliné accountable.

2. Stakeholder Management & Change Adoption

Build alignment across Resource, Finance, Risk and leadership; manage conflicting priorities (speed vs. control vs. compliance).

Train and enable stakeholders; communicate clearly the value and impact of process changes.

Manage resistance and ensure smooth transition from manual to improved processes.

Take full ownership and accountability for outcomes end-to-end, including when things go wrong.

3. Data-Driven Problem Solving

Analyze operational data to identify root causes and improvement opportunities.

Define and track success metrics: efficiency gain, time saved, accuracy improvement, cost reduction.

Translate insights into actionable, prioritized initiatives.

4. Risk, Compliance & Governance

Ensure solutions comply with data privacy (PII protection), internal compliance frameworks, and process-governance standards.

Design guardrails: thresholds, fallback logic, audit trail, human-in-the-loop where applicable.

5. AI & Automation (supporting skill)

Identify opportunities to apply AI/automation (GenAI for content, predictive analytics, workflow/automation tools) to a process that has already been redesigned with sound process logic.

No expectation to build or train models - comfort using existing AI tools/platforms to support execution is a plus not a requirement.

Must have:

• Process & Product Mindset: proven ability to analyze, redesign, and own end-to-end business processes with a user-centric, outcomes-first approach.
• Ownership & Execution: demonstrated track record of taking full accountability for an initiative from discovery to go-live, including driving it through ambiguity and obstacles.
• Stakeholder Management: strong ability to align, influence, and manage trade-offs across cross-functional teams (Ops, Finance, Risk, leadership).
• Data-Driven Analysis: structured, data-driven problem solving - break down complex problems, validate with data, define clear success metrics.
• Quick Learning: adapt rapidly to evolving tools and specialized domain knowledge within the industry.

Nice to have:

• Experience in Logistics / Workforce / Finance 
• Exposure to AI platform, automation tools or internal tool buildingFamiliarity with data tools (SQL, dashboards, analytics)
• Experience with automation platforms