Senior Technical Program Manager (Contract)

About This Role:

Drivemode is seeking a Senior Technical Program Manager, Program Intelligence to lead a critical transformation initiative focused on how complex programs are understood, governed, measured, and improved. This is not a traditional program-coordination role. The Contractor will work across Product, Engineering, QA, Architecture, and TPM/PMO to establish durable systems that connect requirements, scope changes, technical execution, validation, program economics, and business outcomes.

The mission: build the operating intelligence layer that helps Drivemode answer, feature by feature and program by program: What are we building? Why? What changed? What systems are affected? What did the change cost in capacity or schedule? How was it implemented and validated? What risk remains? What outcome did the investment produce?

This is an initial six-month contractor engagement. Based on business need, demonstrated performance, and measurable outcomes, Drivemode may consider a mutually agreed extension of up to six additional months. If exceptional results are demonstrated and key outcomes are achieved ahead of or by the end of the engagement, Drivemode may also separately consider the individual for a full-time opportunity. Neither an extension nor employment is guaranteed; any future engagement would be subject to separate approvals and agreement.

Responsibilities:

• Requirements Governance & End-to-End Traceability 
• Design and establish a scalable requirements-governance model covering ownership, baseline, lifecycle, versioning, approval, and change history.
• Create clear relationships among business, product, system, technical, implementation, and validation artifacts.
• Change Request Management & Impact Intelligence
• Design and establish a structured Change Request (CR) operating model covering intake, classification, analysis, decision, approval, and closure.
• Connect each material CR to affected requirements, features, services, APIs, dependencies, implementation scope, validation scope, and committed milestones.
• Internal Program Intelligence Platform
• Help define and evolve Drivemode’s internal Program Intelligence Platform from a traceability/reporting capability into a program-intelligence and decision-support system.
• Connect approved data across requirements, Change Requests, Jira, source control, validation systems, release information, program milestones, quality signals, and outcome metrics.
• AI-Enabled Program Intelligence & Automation
• Design and build purpose-built AI-enabled tools, agents, and analytical workflows that operate on approved program data and integrate with Drivemode’s internal systems.
• Go beyond general-purpose AI assistants for writing or summarization; use AI as an engineering capability for program intelligence.
• Technical Interface & Dependency Traceability
• Improve program-level visibility into APIs, services, mobile/backend interfaces, data flows, and external-system dependencies for priority GCA scope.
• Connect technical interfaces and dependencies to requirements, Change Requests, and implementation scope.
• Program Economics, KPIs & Decision Support
• Develop practical mechanisms for understanding where engineering and QA capacity is being consumed at the feature or initiative level.
• Measure or estimate the impact of requirement churn, Change Requests, rework, defects, delivery variance, and scope growth.

What We Are Looking For:

8+ years of relevant experience spanning technical program management, technical product management, solution architecture, software engineering, platform programs, or similar work.
Strong technical fluency in backend/distributed systems, APIs, mobile/backend integration, and cross-system dependencies.
Demonstrated ability to translate business or product intent into technical structures, execution plans, interfaces, and measurable outcomes.
Hands-on experience building internal tools, automation, dashboards, or analytical systems using APIs and program data.
Applied AI/agent experience is strongly preferred, especially building integrated workflows or services rather than only using general-purpose assistants.
Strong systems thinking: ability to connect requirements, technical execution, validation, delivery, and business impact.
Excellent judgment and communication across Product, Engineering, QA, Architecture, TPM/PMO, and senior leadership.
Comfort operating autonomously in an ambiguous, fast-moving environment and leaving behind durable systems.