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 timeline 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