Senior AI-Driven Post-Merger Tech Program Lead

Tech Mirrors

Alpharetta (GA)

On-site

USD 140,000 - 190,000

Full time

14 days+

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Job summary

Tech Mirrors in Alpharetta, GA seeks a Senior Program Manager for Mergers & Acquisitions (Technology Integrations) to lead AI-enhanced tech integration programs across engineering, product, cloud, data, security, and GTM functions.

The role partners with the SVP, delivering AI-driven reporting, predictive financial analysis, and intelligent dashboards that consolidate data from Jira, Azure DevOps, and finance systems for rapid decision-making.

Qualifications

Bachelor’s degree in engineering, CS, IS, 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.

Responsibilities

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.
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.
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.
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.