AI Operations & Transformation Lead

• Innovate with Purpose: Build impactful solutions for customers worldwide.
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• Shape the Future: Lead in redefining revenue optimization.
• Grow Together: Unlock your potential in a supportive environment.

Varicent is seeking an AI Ops & Transformation Lead to lead enterprise-wide adoption of GenAI and automation. This role will identify high-impact use cases scout and evaluate emerging AI/automation technologies and manage the delivery of transformational projects that drive measurable efficiency across the business.

You dont need to be a deep coder but you must bring strong technical fluency and curiosity able to translate business needs into structured requirements experiment with no-code/low-code platforms and work closely with developers to bring automation to life.

Key Responsibilities

• Workflow Design & Execution
• Partner with cross-functional leaders to identify scope and document AI use cases.
• Design test and iterate AI-powered workflows and automation agents (using platforms like Relevance Make Retool Zapier or custom builds).
• Maintain clear documentation of workflows logic and dependencies for scale and handover.
• Monitor adoption and performance; troubleshoot and optimize through feedback loops.
• Technology Scouting & Evaluation
• Stay curious about the evolving AI/automation landscape.
• Identify new tools platforms or methods that could accelerate efficiency or transformation at Varicent.
• Run pilots and recommend technologies that best fit business needs.
• Program Management
• Maintain and prioritize an AI/automation backlog based on ROI and impact.
• Translate business needs into structured requirements for Dev team.
• Track progress adoption and ROI; report outcomes to CE and Ops Council.
• Team Leadership
• Manage 2 Developers dedicated to AI/automation projects.
• Set priorities allocate tasks and ensure timely delivery of solutions.
• Encourage experimentation scrappiness and a learning mindset.
• Enterprise Enablement
• Act as internal evangelist for AI and automation.
• Educate teams on how workflows support their goals; provide enablement and playbooks.
• Partner with functional AI champions across GTM Finance Ops and HR to scale adoption.
• Transformational Projects
• Lead initiatives where AI unlocks step-change efficiency (e.g. GTM automation reporting compliance).
• Collaborate with IT Ops and Finance on system redesigns leveraging GenAI.

Knowledge Skills and Experience

• 610 years in operations program management automation or enablement.
• Experience with workflow/automation platforms (Make Zapier Retool Relevance) or system integration.
• Familiarity with data tools (SQL Excel) and APIs; basic coding knowledge (Python/JavaScript) a plus but not required.
• Strong technical curiosity energized by exploring new AI tools experimenting and finding ways to apply them to real business problems.
• Able to translate between business and technical audiences; strong documentation and communication skills.
• Proven ability to manage technical contributors and deliver cross-functional programs.
• Iterative experimental mindset; comfortable with ambiguity and rapid change.

Performance Based Success Criteria

What are you expected to own teach learn and improve once youre on the job What should you accomplishby when How your career will progress throughout the year

1-3 Months

• Stakeholder Engagement: Built strong working relationships with cross-functional leaders; mapped their top process inefficiencies and potential AI use cases.
• Landscape Assessment: Documented current-state workflows tools and pilots; identified gaps and duplication.
• Prioritization: Developed an initial backlog of AI/automation use cases with impact/feasibility scoring.
• Early Delivery: Designed and deployed at least 12 small-scale automations that demonstrate visible value (e.g. time savings error reduction).
• Team Alignment: Established operating rhythm with developers (standups backlog grooming delivery cadence).

4-6 Months

• Project Delivery: Successfully launched 23 high-value pilot projects with measurable ROI (e.g. 20% reduction in manual effort for targeted workflows).
• Documentation & Standards: Created playbooks and standardized documentation for workflows ensuring reproducibility and scale.
• Technology Scouting: Completed evaluation of emerging AI/automation platforms; delivered recommendation and piloted at least one new technology.
• Enterprise Engagement: Built an internal network of functional AI champions in 34 departments to drive adoption and evangelism.
• Kicked off an AI Council to share ideas across teams
• GenAI team enablement through Town Hall segments and other forums
• Performance Tracking: Deployed adoption and impact dashboards; established KPIs to track efficiency gains hours saved and business outcomes.

7 Months & beyond

• Transformational Outcomes: Delivered at least 12 enterprise-level projects that unlocked step-change efficiency (e.g. automated GTM lead management GenAI-enabled reporting compliance automation).
• Roadmap Execution: Published and executed against a multi-year AI/automation roadmap with clear priorities ROI expectations and resource planning.
• Enterprise Enablement: Launched ongoing enablement program (training playbooks workshops) empowering business teams to self-identify and adopt AI solutions.
• Cultural Impact: Positioned AI Ops as a trusted transformation partner; measurable increase in cross-functional adoption and demand for AI workflows.
• Sustained ROI: Demonstrated consistent quantifiable business outcomes (e.g. % reduction in cycle times cost avoidance productivity gains).
• Team Growth: Built a high-performing team culture with developers fostering experimentation and continuous improvement.