Sr. Program Manager – Mergers & Acquisitions (AI Integrations)

About

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.

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 customer experience 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 with 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