Director, Solutions Engineering Job Listing at JDA TSG in United States of America (Job ID 1106)

Description

Overview

As Director, Solutions Engineering, you will be JDA's first dedicated Solutions Engineering hire. You will own solution design for new and expanding client programs end-to-end, from discovery through proposal, pricing, and transition into delivery. You will operate as the connective tissue between go-to-market and operations, translating client needs into executable program architectures and commercial structures.

Initially, this is a hands-on, high-impact role with no direct reports. Over time, you will help define what good looks like for Solutions Engineering at JDA and build a team as the function scales.

Lead solution design for complex pursuits

• Run structured discovery with enterprise stakeholders to understand goals, constraints, current-state processes, and success metrics.
• Design end-to-end managed service solutions: operating model, workflows, roles, tooling approach, governance, reporting, and launch plan.
• Define scope boundaries, assumptions, dependencies, and measurable outcomes.
• Create high-quality client-facing deliverables (decks, proposals, RFP responses, solution summaries) that drive alignment and accelerate decisions.
• Partner with Sales to shape deal strategy, close plans, and differentiation narrative.

Build commercially sound, executable programs

• Create staffing models, onboarding and training plans, QA approaches, and steady-state operating cadences.
• Develop pricing models and business cases that balance competitiveness with margin discipline.
• Support contract development (MSA/SOW) by providing scope clarity, deliverables, acceptance criteria, and change-control structure.
• Pressure-test solutions with Delivery/Operations, Recruiting, IT/Security, and Finance to ensure feasibility.

Own transition readiness and delivery handoff

• Lead internal solution reviews to align on delivery approach, risks, and resourcing.
• Produce transition artifacts: launch plan, RACI, timeline, training plan, and reporting/KPIs.
• Stay engaged post-close as needed to ensure launch quality and preserve solution intent.

Advance JDA's AI+HI approach

• Design solutions that incorporate automation and AI appropriately with strong human-in-the-loop controls.
• Identify repeatable patterns and components that improve speed-to-solution and consistency across pursuits.

Build the Solutions Engineering function (phase 1)

• Establish standards for discovery, scoping, estimating, pricing hygiene, proposal quality, and handoffs.
• Create reusable templates and playbooks (discovery guides, solution briefs, pricing models, transition checklists).
• Define the future org structure, roles, and hiring plan as pipeline scales and priorities become clear.

What Success Looks Like

• Higher win rate and stronger conversion on qualified pipeline.
• Margin-aligned pricing and fewer scope surprises post-close.
• High-quality handoffs and smooth launches (delivery satisfaction).
• Reusable SE assets and a clear plan to scale the function.

• 8–12+ years in solutions engineering, solution consulting, launch operations, pre-sales, customer operations, managed services, or tech-enabled services.
• Proven ability to lead enterprise discovery and translate ambiguity into executable operating models.
• Strong commercial skills: scoping, estimating, pricing, and shaping SOW language with clear assumptions and change control.
• Executive presence and crisp communication: able to simplify complexity and drive decisions.
• Comfort working autonomously in a first-hire environment: building structure while delivering outcomes.
• Analytical strength (staffing models, unit economics, margin sensitivity).
• Preferred experience in customer support operations, technical support, trust & safety, compliance/risk, or back-office operations.
• Preferred familiarity with AI-enabled workflows and human-in-the-loop design.
• Preferred consulting background or experience productizing service offerings/modules.

• Healthcare - Comprehensive coverage for you and your family
• Employee Assistance Program - Get support when you or your family need it with counseling and coaching
• 401K with company match
• Paid time off
• Paid parental leave
• Volunteer Day Off
• Life insurance - Protect your loved ones and their future
• Business travel accident insurance

We are an equal opportunity employer committed to building an inclusive workplace. To view our Equal Employment Opportunity (EEO) policy, please click here.

• 8–12+ years in solutions engineering, solution consulting, launch operations, pre-sales, customer operations, managed services, or tech-enabled services.
• Proven ability to lead enterprise discovery and translate ambiguity into executable operating models.
• Strong commercial skills: scoping, estimating, pricing, and shaping SOW language with clear assumptions and change control.
• Executive presence and crisp communication: able to simplify complexity and drive decisions.
• Comfort working autonomously in a first-hire environment: building structure while delivering outcomes.
• Analytical strength (staffing models, unit economics, margin sensitivity).
• Preferred experience in customer support operations, technical support, trust & safety, compliance/risk, or back-office operations.
• Preferred familiarity with AI-enabled workflows and human-in-the-loop design.
• Preferred consulting background or experience productizing service offerings/modules.

Lead solution design for complex pursuits

• Run structured discovery with enterprise stakeholders to understand goals, constraints, current-state processes, and success metrics.
• Design end-to-end managed service solutions: operating model, workflows, roles, tooling approach, governance, reporting, and launch plan.
• Define scope boundaries, assumptions, dependencies, and measurable outcomes.
• Create high-quality client-facing deliverables (decks, proposals, RFP responses, solution summaries) that drive alignment and accelerate decisions.
• Partner with Sales to shape deal strategy, close plans, and differentiation narrative.

Build commercially sound, executable programs

• Create staffing models, onboarding and training plans, QA approaches, and steady-state operating cadences.
• Develop pricing models and business cases that balance competitiveness with margin discipline.
• Support contract development (MSA/SOW) by providing scope clarity, deliverables, acceptance criteria, and change-control structure.
• Pressure-test solutions with Delivery/Operations, Recruiting, IT/Security, and Finance to ensure feasibility.

Own transition readiness and delivery handoff

• Lead internal solution reviews to align on delivery approach, risks, and resourcing.
• Produce transition artifacts: launch plan, RACI, timeline, training plan, and reporting/KPIs.
• Stay engaged post-close as needed to ensure launch quality and preserve solution intent.

Advance JDA's AI+HI approach

• Design solutions that incorporate automation and AI appropriately with strong human-in-the-loop controls.
• Identify repeatable patterns and components that improve speed-to-solution and consistency across pursuits.

Build the Solutions Engineering function (phase 1)

• Establish standards for discovery, scoping, estimating, pricing hygiene, proposal quality, and handoffs.
• Create reusable templates and playbooks (discovery guides, solution briefs, pricing models, transition checklists).
• Define the future org structure, roles, and hiring plan as pipeline scales and priorities become clear.

What Success Looks Like

• Higher win rate and stronger conversion on qualified pipeline.
• Margin-aligned pricing and fewer scope surprises post-close.
• High-quality handoffs and smooth launches (delivery satisfaction).
• Reusable SE assets and a clear plan to scale the function.