Senior Program Manager

Senior Program Manager Mergers & Acquisitions

Alpharetta, GA

Contract

Role Summary

The Senior Program Manager M&A (Technology) leads and governs complex post-merger

technology integration programs, leveraging AI-driven insights, automation, and

advanced analytics to accelerate decision-making and ensure seamless integration across

engineering, product, cloud, data, security, and go-to-market functions.

This role also acts as a strategic and operational partner to the SVP, providing AI-enhanced

reporting, predictive financial analysis, and intelligent dashboards that consolidate data

from disparate systems across the full M&A integration portfolio.

Key Responsibilities

Technology M&A Program Management

• Lead enterprise-scale technology integration programs following acquisitions, incorporating AI-powered program orchestration, risk prediction, and workflow automation.

• Drive product, platform, application, and infrastructure integration using AI-assisted architecture mapping and system rationalization tools.

• Apply AI-enabled data migration and harmonization techniques to accelerate data quality, lineage validation, and architecture alignment.

• Use AI-driven cybersecurity analytics to enhance identity, compliance, and threat-detection integration.

• Manage multiple parallel initiatives using AI-supported resource modeling,dependency mapping, and scenario planning.

• Maintain a master integrated roadmap enriched with predictive analytics to forecast milestone risks and impacts.

• Ensure integration work supports scalability, reliability, security, and customerexperience through AI-based performance monitoring.

Timeline, Cost & Value Management

• Own program financials using AI-powered forecasting models, cost-reduction simulations, and synergy realization analytics.

• Track delivery timelines using AI-driven critical path analysis and automated schedule risk alerts.

• Monitor integration KPIs using real-time dashboards that unify data from engineering, cloud, finance, and operations systems.

• Apply machine learning models to identify cost-saving opportunities, technical debt hotspots, and operational inefficiencies.

• Use AI-enabled scenario modeling to evaluate trade-offs between speed, cost, and technical quality.

Executive & SVP Support (Strategic Assistant Function)

• Serve as a trusted advisor to the SVP, providing AI-generated insights, automated summaries, and intelligent decision support.

• Prepare executive-ready reports and AI-enhanced dashboards integrating data from Jira, Azure DevOps, cloud platforms, financial systems, and security tools.

• Use natural language AI to synthesize complex program data into concise board-level narratives.

• Support the SVP with AI-assisted due diligence analysis, integration readiness scoring, and automated follow-up tracking.

Stakeholder, Vendor & Governance Leadership

• Drive alignment across senior technology leaders using AI-supported collaboration tools, sentiment analysis, and automated meeting synthesis.

• Manage external vendors and partners using AI-based performance tracking and contract optimization analytics.

• Facilitate governance forums with AI-generated risk heatmaps, architecture insights, and compliance dashboards.

• Use AI-powered scenario modeling to resolve conflicts between speed, quality, cost, and security.

Delivery Model & Process Excellence

• Implement integration governance enhanced by AI-driven workflow automation, DevOps intelligence, and predictive delivery analytics.

• Standardize tools and reporting using AI-powered dashboards for:
• Dependency and risk management
• Agile release tracking
• Financial and synergy reporting
• Compliance and security monitoring
• Continuously improve integration playbooks using AI-based lessons-learned extraction, pattern recognition, and process optimization.

Required Qualifications

• Bachelor s degree in engineering, Computer Science, Information Systems, Business, or related field.

• 10+ years managing large, complex technology programs.
• Demonstrated experience leading M&A or enterprise-scale technology integrations.
• Strong understanding of cloud, SaaS, data platforms, cybersecurity, and AI-enabled technology ecosystems.

• Proven ability to communicate clearly with engineering leadership and executive

stakeholders.

Preferred Qualifications

• MBA or advanced degree.
• PMP, PgMP, SAFe, or equivalent certification.
• Experience in SaaS, cloud, AI/data platforms, or enterprise software companies.
• Prior experience supporting senior executives or operating within a Tech PMO or Corporate Development team.

Key Skills & Competencies

• Technology-focused program and portfolio management
• Strong financial and business acumen applied to tech investments
• Executive communication and synthesis
• Cross-functional leadership in matrixed organizations
• Risk management across security, scalability, and reliability domains
• Ability to balance innovation speed with operational stability
• AI literacy and ability to apply AI tools across program, financial, and technical workflows

Success Measures

Seamless integration of acquired platforms with minimal customer disruption

Delivery of integration milestones on time and within budget

Achievement of planned technology and cost synergies

High confidence from executive leadership in program visibility and control

Scalable, AI-enabled integration frameworks supporting future acquisitions