AI Transformation & Change Manager

ActiveProspect

Austin (TX)

On-site

USD 140,000 - 190,000

Full time

15 hours ago

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Job summary

The successful candidate will translate the company’s AI strategy into measurable business outcomes,

Qualifications

Formal change-management certification or framework experience (Prosci / ADKAR or equivalent).
Experience in a high-growth SaaS or private-equity-backed environment.

Responsibilities

Lead AI initiatives from initial concept through solution design, testing, implementation, adoption, and ongoing improvement.
Partner with Business Systems, IT, Compliance, functional leaders, vendors, and subject-matter experts to develop AI-enabled solutions.
Personally drive execution, including documenting requirements, redesigning workflows, coordinating pilots, testing solutions, and managing rollout plans.
Establish repeatable processes and playbooks that scale AI solutions across the organization.
Track adoption and solution performance after implementation and adjust based on feedback and results.

Skills

Hands-on execution

Strategic thinking

Change leadership

Data-driven decision-making

Stakeholder management

Training and facilitation

Job description

Company Overview

ActiveProspect is on a mission to make consent-based marketing the best channel for online customer acquisition. We provide marketers the products they need to acquire qualified customers at scale. Our platform is trusted by thousands of companies engaged in direct-to-consumer marketing, helping them save wasted spend, comply with ever-changing regulations, and manage a constantly evolving partner landscape. Our flagship product, TrustedForm, is used to certify over 1 billion opt-in digital customer leads every year and is the gold standard for documenting prior express written consent for TCPA compliance.

Company Overview

Job Summary

ActiveProspect is seeking an AI Transformation & Change Manager who will lead the practical adoption of artificial intelligence across the company’s non-technical functions. This is a highly hands‑on role responsible for identifying high‑value opportunities, designing and implementing AI‑enabled solutions, managing organizational change, and building AI knowledge and confidence across functional teams. This individual will translate the company’s AI strategy into measurable business outcomes. They will work directly with teams to understand existing processes, challenge the status quo, redesign workflows, deploy solutions, and ensure employees have the training and support necessary to adopt new ways of working. The successful candidate will be both a strategic thinker and a strong executor. This is not a strategy‑only or advisory role; the AI Transformation & Change Manager will be expected to personally drive initiatives from opportunity identification through implementation, adoption, and ROI measurement.

Internal AI Strategy and Roadmap Execution

Partner with the CFO and the Vice President of Business Systems, Compliance and IT to develop and execute the company’s enterprise AI strategy staying aligned to the technical side of the house
Translate strategic priorities into a practical, sequenced AI roadmap with clear owners, milestones, dependencies, and success measures
Lead the company’s AI Strategy Team, including establishing meeting agendas, facilitating decisions, tracking commitments, and maintaining accountability for results
Monitor emerging AI capabilities and recommend practical applications that support the company’s business objectives
Balance speed, value, scalability, compliance, and organizational readiness when prioritizing AI initiatives
Own the AI tooling budget: forecast spend, evaluate cost against realized value, and recommend consolidation or termination of underperforming tools.

Opportunity Identification and Process Transformation

Work directly with Finance, Accounting, Legal, HR, Revenue Operations, Customer Support, Implementations, Customer Success, Sales and other non-technical functions to identify opportunities for AI‑enabled automation and improvement
Evaluate existing processes, challenge established ways of working, and identify opportunities to reduce manual effort, improve quality, accelerate decision‑making, and enhance employee and customer experiences
Facilitate workshops and working sessions to uncover business needs and translate them into actionable AI use cases
Prioritize opportunities based on expected business value, implementation effort, risk, data availability, and likelihood of adoption
Develop clear business cases and recommendations for proposed AI initiatives

Solution Design and Implementation

Lead AI initiatives from initial concept through solution design, testing, implementation, adoption, and ongoing improvement
Partner with Business Systems, IT, Compliance, functional leaders, vendors, and other subject‑matter experts to develop practical AI‑enabled solutions
Personally drive execution, including documenting requirements, redesigning workflows, coordinating pilots, testing solutions, resolving implementation issues, and managing rollout plans
Establish repeatable processes and playbooks that allow successful AI solutions to scale across the organization
Track adoption and solution performance after implementation and make adjustments based on employee feedback and business results

Change Management, Training and Adoption

Develop and execute change‑management plans that accelerate AI adoption and help employees successfully transition to new tools and workflows
Build AI fluency across non‑technical teams through training, coaching, demonstrations, office hours, practical use cases, and ongoing communications
Help employees understand how AI can enhance their work while setting realistic expectations regarding its capabilities and limitations
Identify and support AI champions within functional teams who can reinforce adoption and share effective practices
Address resistance to change by understanding employee concerns, engaging leaders, and demonstrating measurable value
Create reusable educational materials, prompt libraries, implementation guides, and other resources that make AI accessible to employees with varying levels of technical knowledge

Stakeholder Alignment and Governance

Build alignment among executive leaders, functional teams, Business Systems, IT and Compliance regarding AI priorities, responsibilities, and expected outcomes
Coordinate closely with the Compliance team to ensure AI programs are consistent with company policies, regulatory requirements, data privacy obligations, security standards, and responsible AI principles
Incorporate appropriate controls, documentation, human review, and monitoring into AI‑enabled workflows
Communicate progress, risks, decisions, and results clearly to executive sponsors and other stakeholders
Ensure teams remain aligned throughout implementation and that issues requiring leadership decisions are escalated promptly

Business Impact and ROI Measurement

Establish baseline metrics and success criteria before beginning each AI initiative
Document and report the tangible and intangible value created by AI programs across each functional team
Measure outcomes such as time savings, cost reductions, productivity improvements, faster cycle times, increased capacity, improved accuracy, better decision‑making, enhanced employee experience, and reduced risk
Develop dashboards and executive reporting that show implementation progress, adoption levels, realized benefits, and areas requiring additional attention
Conduct post‑implementation reviews to confirm whether anticipated benefits were achieved and identify lessons for future initiatives
Maintain an enterprise view of the cumulative return on the company’s AI investments

Preferred Qualifications

Formal change‑management certification or framework experience (Prosci / ADKAR or equivalent)
Experience in a high‑growth SaaS or private‑equity‑backed environment, and comfort operating without established process

Key Competencies

Hands‑on execution and ownership
Strategic thinking with strong operational discipline
Curiosity and continuous learning
Business‑process redesign
Change leadership and organizational influence
Stakeholder management and executive presence
Practical problem‑solving
Training, coaching, and facilitation
Data‑driven decision‑making
Sound judgment regarding risk and compliance
Ability to challenge the status quo constructively
Ability to create momentum in an evolving and ambiguous environment

Measures of Success

The number and business value of AI solutions successfully deployed
Demonstrable efficiency, capacity, quality, and cost improvements
Adoption and sustained usage of AI tools and redesigned workflows
Growth in AI knowledge and confidence across non‑technical teams
Completion of roadmap initiatives on schedule
Effective partnership and alignment among functional leaders, Business Systems, IT and Compliance
Appropriate governance and compliance controls embedded in AI solutions
Clear documentation of tangible and intangible ROI by function
The company’s ability to scale successful AI practices across multiple teams

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