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Senior Program Manager C2C Alpharetta, GA

Job in Alpharetta, Fulton County, Georgia, 30239, USA
Listing for: Tech Mirrors
Full Time position
Listed on 2026-07-27
Job specializations:
  • IT/Tech
    AI Business & Operations, AI Engineer (Applied/Software), Business Systems & Technology Analysis, Data Analyst
Salary/Wage Range or Industry Benchmark: 140000 - 190000 USD Yearly USD 140000.00 190000.00 YEAR
Job Description & How to Apply Below
Position: Senior Program Manager C2C requirements Alpharetta, GA

Role – Senior Program Manager – Mergers & Acquisitions (Technology Integrations)

Location – Alpharetta, GA

Mandatory – AI, Cloud, SAAS, M&A

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 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 Dev Ops, 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, Dev Ops 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…
Position Requirements
10+ Years work experience
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