Senior Program Manager – Mergers & Acquisitions

At Staffworxs, we don’t just connect talent — we power transformation. Headquartered in Frisco, TX, with teams in Bengaluru and Hyderabad, we combine global reach with deep expertise. Our Digital & Data Analytics practice drives growth and innovation for some of the world’s top brands, who continue to retain us as their trusted partner. If you’re ready to make an impact, you’re in the right place.Job Details: Job Title: Senior Program Manager - M&ALocation: Alpharetta, GA Duration: 6 Months Contract JOB DESCRIPTION:Senior Program Manager – Mergers & Acquisitions (Technology Integrations) Reporting To: Senior Vice President (SVP), Technology & Corporate Development ProgramsRole 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 ResponsibilitiesTechnology M&A Program ManagementLead 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 LeadershipDrive 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 ExcellenceImplement 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 managementAgile release trackingFinancial and synergy reportingCompliance and security monitoringContinuously improve integration playbooks using AI-based lessons-learned extraction, pattern recognition, and process optimization.Required QualificationsBachelor’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 QualificationsMBA 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 & CompetenciesTechnology-focused program and portfolio managementStrong financial and business acumen applied to tech investmentsExecutive communication and synthesisCross-functional leadership in matrixed organizationsRisk management across security, scalability, and reliability domainsAbility to balance innovation speed with operational stabilityAI literacy and ability to apply AI tools across program, financial, and technical workflowsSuccess MeasuresSeamless integration of acquired platforms with minimal customer disruptionDelivery of integration milestones on time and within budgetAchievement of planned technology and cost synergiesHigh confidence from executive leadership in program visibility and controlScalable, AI-enabled integration frameworks supporting future acquisitionsStaffworxs is an Equal Opportunity Employer. We celebrate diversity and are committed to creating an inclusive workplace for all employees, regardless of race, color, religion, gender, sexual orientation, national origin, age, disability, or veteran status.