Senior Manager, Technology Change Enablement

Michael Baker International•Katy, TX

About The Position

The Senior Manager, Technology Change Enablement is responsible for leading enterprise IT-based organizational change initiatives to ensure successful adoption, sustained behavioral change, and measurable value realization from technology investments. This role designs and operationalizes a data-driven Technology Change Enablement framework that integrates organizational change management (OCM), AI-powered adoption analytics, stakeholder engagement, and benefits tracking into the IT lifecycle. This leader reimagines change management as a measurable, intelligence-driven discipline—leveraging AI, automation, behavioral analytics, and predictive insights to proactively identify adoption risks, optimize engagement strategies, and accelerate value capture. The role partners closely with IT, Finance, HR, and business leaders to embed accountability, governance, and measurable outcomes across digital transformation initiatives. This position plays a critical leadership role in shifting the organization from project-based implementations to outcome-based technology transformation.

Requirements

Bachelor’s degree in Business Administration, Organizational Development, Information Technology, Data Analytics, Finance, or related field required.
10+ years of progressive experience in IT organizational change, digital transformation, enterprise technology implementation, or related disciplines.
5+ years leading enterprise-wide change initiatives supporting complex IT implementations (ERP, BIM platforms, CRM, collaboration tools, cloud migrations, etc.).
5+ years of leadership experience managing OCM, adoption, communications, or value realization teams.
Demonstrated success leveraging analytics, system telemetry, and behavioral data to improve technology adoption outcomes.
Experience implementing structured OCM frameworks (e.g., Prosci ADKAR, CCMP, or similar).
Proven track record of defining business cases, ROI models, and measurable benefit realization frameworks.
Experience collaborating with Finance to validate cost savings, productivity improvements, and financial impacts.
Strong expertise in IT-based organizational change and digital adoption strategies.
Deep understanding of enterprise technology implementation lifecycles.
Ability to leverage AI and analytics to drive predictive change management and measurable outcomes.
Strong financial acumen and ability to translate technology initiatives into quantifiable business value.
Proficiency with analytics platforms, dashboards (e.g., Power BI, Tableau), PPM tools, and survey/sentiment tools.
Experience using automation platforms to streamline workflows and reporting.
Executive-level communication and stakeholder influence skills.
Strong facilitation, storytelling, and data visualization capabilities.
Ability to operate in a complex, matrixed environment with competing priorities.
Strategic thinker with strong operational execution discipline.
High emotional intelligence and organizational awareness.

Nice To Haves

Master’s degree (MBA, Organizational Leadership, Data Analytics, or related discipline) preferred.
Prosci, CCMP, PMP, or similar certifications preferred.
Certifications in data analytics, AI, or digital transformation frameworks preferred.
Experience leveraging AI-enabled tools (e.g., sentiment analysis, predictive analytics, contract/text analytics, automation platforms) preferred.
Experience in AEC or project-based professional services environments preferred.

Responsibilities

Develop and implement a comprehensive IT Change Enablement strategy aligned with digital transformation objectives and enterprise priorities.
Establish an enterprise Technology Change Enablement framework embedded within IT governance, portfolio management, and funding processes.
Integrate structured OCM methodologies into IT project lifecycles, ensuring change planning begins at business case inception.
Lead change impact assessments, stakeholder mapping, readiness diagnostics, and adoption risk modeling for enterprise IT initiatives.
Design and deploy AI-enabled adoption analytics capabilities leveraging system usage data, workflow metrics, and engagement signals.
Implement predictive analytics models to identify adoption risk, resistance patterns, and change fatigue across business units.
Leverage AI tools for sentiment analysis (e.g., surveys, feedback channels, collaboration platforms) to measure organizational readiness and change perception.
Develop automated dashboards tracking real-time adoption metrics, behavioral shifts, and value realization indicators.
Use analytics to segment users by behavior patterns and tailor enablement strategies (training, communications, interventions) accordingly.
Partner with data teams to integrate telemetry, ERP/CRM/BIM usage data, and productivity metrics into change insights reporting.
Design and implement a Value Realization framework for IT investments, including KPI definition, baseline establishment, and benefits ownership alignment.
Collaborate with Finance to quantify ROI, productivity gains, cost avoidance, and operational improvements.
Establish governance processes to track benefit realization beyond go-live, ensuring sustained value capture.
Develop executive-level dashboards linking adoption metrics to financial and operational outcomes.
Lead post-implementation value reviews to assess performance against business case assumptions.
Drive accountability with business sponsors for benefit delivery and outcome realization.
Oversee enterprise communications strategy for major IT transformations.
Guide the IT OCM Lead in developing scalable training, enablement, and reinforcement programs.
Drive leadership alignment and sponsor effectiveness through structured engagement plans and executive coaching.
Develop change champion networks and digital ambassadors to support sustained adoption.
Identify organizational capability gaps and coordinate interventions to improve digital fluency and technology adoption maturity.
Embed change enablement metrics into IT PMO governance and stage gate approvals.
Establish enterprise change saturation monitoring to prevent overload and initiative fatigue.
Develop a Technology Change Maturity Model and conduct periodic assessments.
Leverage automation to streamline communications, feedback loops, and reporting workflows.
Continuously refine enablement strategies using data insights, lessons learned, and AI-driven recommendations.
Foster a culture of accountability, agility, experimentation, and measurable business impact.
Directly supervise the IT OCM Lead and the Value Realization & Communications Lead.
Provide leadership, mentorship, and capability development in data-driven change practices.
Establish measurable adoption, engagement, and value realization performance targets.
Promote cross-functional collaboration across IT, Finance, HR, and business units.
Build organizational capability in AI-enabled change management practices.