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 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.

 

Client is looking for candidates with few of the below skills:

Enterprise vulnerability remediation program

Identity modernization (SSO/MFA)

Secrets management rollout

SOC 2 certification

ISO 27001 implementation

HIPAA compliance

GDPR readiness

FedRAMP preparation

Secure SDLC rollout

Enterprise incident management capability

Third-party risk management

Cloud migration security

Enterprise security tooling deployments

Client’s expectations:

someone up to date on recent technology (cloud, AI etc) and agile software development practices. while they may not need to understand all the very granular details, they need to be able to understand what the project is trying to accomplish, how it fits into the business goals and easily speak to that with stakeholders 

experience in working with large tech orgs – specifically with cloud engineering, software development and security teams 

very good negotiating skills to work with the departments on prioritization and how to fit that into their roadmaps

clearly able to describe how they track projects and report out on them

ability to quickly identify risks to projects and work with teams on mitigation strategies to try bring timelines back in line with expectations 

good communication skills 

proven track record of delivering projects on time