Program Manager

Insight Global; Atlanta (GA); On-site; USD 120,000 - 180,000; Full time

Job summary

Insight Global Consulting is seeking a Project/Program Manager to oversee a growing portfolio of manufacturing-focused consulting engagements, including AI transformation, data modernization, platform migration, and related opportunities. The role involves end-to-end delivery of strategic consulting, transformation, and technology initiatives in a manufacturing client environment.

You will coordinate cross-functional teams, manage client and internal stakeholder relationships, and drive

Qualifications

• 8+ years of project/program management experience in consulting or enterprise transformation.
• Strong ability to manage multiple workstreams and stakeholders.
• Experience delivering AI transformation, data modernization, or platform migration programs.
• Excellent written and verbal communication with executive sponsors.

Responsibilities

• Oversee current and future engagements focused on AI transformation, data modernization, and platform migration.
• Lead multiple concurrent workstreams across transformation, data, analytics, and modernization initiatives.
• Manage scope, schedule, budget, risks, dependencies, deliverables, and stakeholder communications.

Skills

Project management

Executive communication

Stakeholder management

Job description

Insight Global Consulting is seeking a Project / Program Manager to oversee a growing portfolio of manufacturing-focused consulting engagements, including AI transformation, data modernization, platform migration, and related follow-on project opportunities.

This role is responsible for end-to-end delivery of strategic consulting, transformation, and technology initiatives in a manufacturing client environment. Successful candidates will coordinate cross-functional teams, manage client and internal stakeholder relationships, drive project governance, and ensure delivery continuity across a growing portfolio of client work.

The Project / Program Manager serves as a consulting delivery leader for programs that may include AI maturity assessments, AI-enabled transformation, use case backlog assessment, data migration, analytics modernization, enterprise platform transition, business process improvement, and change management. A successful candidate is comfortable operating in a matrixed environment with client sponsors, technical SMEs, business stakeholders, consultants, delivery leadership, and account teams, and can translate strategic objectives into executable delivery plans.

Key Responsibilities

• Oversee current and future client engagements focused on AI transformation, data modernization, platform migration, and related downstream project opportunities.
• Lead multiple concurrent workstreams across AI transformation, data migration, analytics, process improvement, and technology modernization initiatives.
• Manage scope, schedule, budget, risks, dependencies, deliverables, and stakeholder communications across a growing portfolio of client work.
• Establish governance routines, executive reporting cadences, RAID management, decision logs, and delivery management standards.
• Coordinate resource planning, delivery execution, consultant engagement, and successful handoffs between assessment, implementation, and follow-on scope.
• Ensure adherence to contractual commitments, milestones, KPIs, SLAs, and client success measures.
• Serve as a primary delivery contact for client stakeholders, program sponsors, technical leaders, and business owners.
• Facilitate steering meetings, status reviews, risk reviews, backlog reviews, planning sessions, and executive updates.
• Build trusted advisor relationships by connecting delivery execution to client business priorities and transformation objectives.
• Identify opportunities to expand business value, improve delivery outcomes, and define logical follow-on work from current engagements.

Transformation & Strategic Initiatives

Lead consulting engagements such as:

• AI Maturity Assessments
• AI Transformation Roadmaps
• AI Use Case Backlog Assessment and Prioritization
• Data Migration Programs, including Synapse-to-Snowflake or similar platform transitions
• Reporting and Analytics Modernization
• Data Governance and Data Quality Initiatives
• Manufacturing Process and Operations Transformation
• Enterprise Systems Integration and Modernization
• Change Management and Adoption Programs
• Process Improvement and Operational Excellence Initiatives

3. Risk & Financial Management

• Manage engagement financial performance, forecasting, and profitability.
• Monitor program risks, issues, dependencies, and mitigation strategies.
• Drive change control governance and scope management.
• Escalate delivery concerns and implement corrective actions when necessary.
• Lead cross-functional consulting teams including project managers, business analysts, data engineers, AI specialists, solution architects, technical SMEs, client resources, and account team partners.
• Operate effectively in a matrixed environment where delivery authority, client ownership, technical execution, and commercial accountability may sit across multiple teams.
• Coach and guide consultants and project contributors to maintain accountability, clarity, and delivery momentum.
• Foster a culture of ownership, continuous improvement, and client-centric delivery.

Required Qualifications

Experience

• 8+ years of project and program management experience, preferably in consulting, professional services, technology delivery, or enterprise transformation.
• Demonstrated experience managing client-facing programs with multiple workstreams, stakeholders, vendors, and delivery teams.
• Experience delivering strategic business and technology initiatives such as AI transformation, data platform modernization, analytics enablement, or enterprise systems programs.
• Ability to manage ambiguity, structure workplans, coordinate dependencies, and drive accountability across matrixed teams.
• Strong executive communication, facilitation, status reporting, risk management, and issue resolution skills.

Preferred Industry Experience

• Experience working with manufacturing, industrial, automation, engineering, or complex product organizations.
• Understanding of how manufacturing businesses evaluate technology investments, operational transformation, data maturity, automation, and enterprise process change.
• Experience partnering with business operations, IT, data, analytics, engineering, product, finance, procurement, PMO, and executive leadership teams.
• Comfort managing programs that span multiple business functions rather than a single technical or operational discipline.
• Familiarity with manufacturing operations, supply chain, quality, plant operations, industrial automation, or engineered product environments is preferred but not required.