AI Transformation Lead

When you join Accurate Background, you’re an integral part of making every hire the start of a success story. Your contributions will help us fulfill our mission of advancing the background screening experience through visibility and insights, empowering our clients to make smarter, unbiased decisions.

Job Description:

Accurate Background is a fast-growing organization focused on providing employment background screening solutions and building trusted relationships with our clients. Accurate Background continues to exceed expectations by offering innovative background check and credentialing products.

The AI Transformation Lead will lead the day-to-day execution of Accurate Background’s Operations AI transformation, connecting process intelligence, AI and automation delivery, operating-model change, and measurable business outcomes. This role is accountable for turning operational opportunities into a prioritized, governed, and executable portfolio of AI-native automation using agentic AI-DLC to move quickly.

This is a highly cross-functional and hands-on influential role that will wear multiple hats based on the needs of the transformation. The AI Transformation Lead will serve as process intelligence lead, automation portfolio lead, program and project manager, vendor manager, stakeholder partner, and primary coordinator for the automation delivery pod. The role will establish structure, remove obstacles, drive decisions, maintain schedules and dependencies, communicate progress to leadership, and contribute directly to analysis, documentation, solution shaping, testing, adoption, and benefit realization where needed.

This role partners closely with Operations, Product, Technology, Data, Information Security, Legal and Compliance, Finance, Change Management, and external vendors to deliver AI-powered solutions that improve capacity, efficiency, quality, turnaround time, customer experience, and risk management. We offer a fun, fast-paced environment with significant opportunities for growth.

Responsibilities

· Own the day-to-day execution of the Operations AI transformation roadmap from process discovery and opportunity assessment through delivery, adoption, measurement, and continuous improvement.

· Lead process intelligence activities, including process selection, discovery planning, data capture, current-state mapping, process-variant analysis, bottleneck and rework identification, baseline definition, and conversion of findings into actionable automation opportunities.

· Partner with Operations subject matter experts to validate how work is performed, document business rules, exceptions, handoffs, controls, data needs, and system dependencies, and distinguish automation opportunities from standardization, simplification, training, or product-change opportunities.

· Create and manage a transparent pipeline of AI, agentic automation, workflow automation, RPA, and process-improvement opportunities optimized for cost, business value, feasibility, risk, readiness, dependencies, and delivery capacity.

· Facilitate prioritization decisions with business and technology leaders and translate approved opportunities into clear scopes, outcomes, milestones, requirements, acceptance criteria, and delivery plans.

· Direct and coordinate the AI Engineer/Automation delivery pod, including backlog management, sprint and milestone planning, work assignment, dependency management, issue resolution, delivery sequencing, and alignment to engineering and governance standards.

· Partner closely with the AI Engineers to create process context and translate into solution designs, reusable automation patterns, AI agents, tools, integrations, and production-ready workflows using AI-DLC agentic methodology and tooling.

· Manage the integrated transformation plan, schedule, risks, issues, assumptions, decisions, dependencies, resource needs, and critical path across process discovery, engineering, testing, deployment, change adoption, and operational transition.

· Establish practical delivery governance, including intake, stage gates, readiness criteria, decision rights, status reporting, risk escalation, documentation standards, and production handoff expectations.

· Manage external vendors and implementation partners, including scope, deliverables, milestones, capacity, dependencies, performance, commercial alignment, knowledge transfer, and issue escalation.

· Coordinate stakeholders across Operations, Product, Technology, Data, Information Security, Legal and Compliance, Finance, and other functions to ensure solutions are viable, secure, compliant, supportable, and aligned to business priorities.

· Develop clear leadership communications, transformation scorecards, roadmap updates, decision materials, risk summaries, and executive presentations that communicate progress, value, constraints, trade-offs, and required actions.

· Define and track measurable baselines, target outcomes, leading indicators, delivery metrics, adoption metrics, operational performance, realized benefits, and lessons learned for each initiative.

· Partner with Finance and Operations to validate benefit assumptions and monitor realized capacity, productivity, cost, quality, turnaround-time, customer-experience, and risk outcomes.

· Lead business readiness, user acceptance testing, rollout planning, standard operating procedure updates, training coordination, communications, adoption, and transition to operational ownership and support.

· Ensure human-in-the-loop controls, exception handling, auditability, monitoring, responsible AI, data protection, regulatory requirements, and operational resiliency are addressed throughout delivery.

· Identify cross-process patterns and reusable capabilities that reduce one-off development and accelerate future automation delivery.

· Continuously improve the transformation operating model, delivery cadence, prioritization methods, process intelligence practices, governance, and collaboration between Operations and Technology.

· Act as a hands-on problem solver when needed by facilitating workshops, documenting processes and requirements, analyzing data, building business cases, preparing project artifacts, coordinating testing, validating outcomes, and resolving delivery blockers.

· Promote an AI-enabled operating model that augments employees, moves repetitive work toward automation, and enables teams to focus on judgment, customer outcomes, exception management, and higher-value activities.

Required Qualifications

· Bachelor's degree in business, technology, engineering, operations, information systems, or a related field, or equivalent practical experience.

· 8+ years of experience leading complex transformation, automation, process improvement, technology delivery, operations excellence, or enterprise change initiatives.

· Experience owning cross-functional programs from strategy and discovery through implementation, adoption, measurement, and continuous improvement.

· Experience leading process discovery, process mapping, process mining or task mining, value-stream analysis, Lean process improvement, or similar process intelligence disciplines.

· Experience building and prioritizing automation portfolios using business value, feasibility, risk, readiness, dependencies, and delivery capacity.

· Working knowledge of AI-enabled automation, agentic AI, workflow automation, RPA, APIs, data integrations, and human-in-the-loop operating models.

· Experience managing Agile delivery teams, automation pods, engineering workstreams, or multidisciplinary product and technology teams.

· Strong program and project management capabilities, including roadmaps, schedules, milestones, dependencies, RAID management, resource planning, decision tracking, and executive status reporting.

· Experience managing external vendors, professional services partners, statements of work, deliverables, milestones, commercial commitments, and knowledge transfer.

· Ability to translate operational problems into structured requirements, process designs, solution options, delivery plans, and measurable outcomes.

· Experience developing business cases, defining operational baselines, validating assumptions, and tracking benefits realization.

· Experience coordinating business readiness, user acceptance testing, rollout, training, communications, adoption, and operational transition.

· Understanding of responsible AI, data privacy, information security, compliance, auditability, risk management, and change-control considerations.

· Strong facilitation, stakeholder management, negotiation, and conflict-resolution skills across business and technical teams.

· Executive-level written and verbal communication skills, with the ability to simplify complex topics and present clear decisions, trade-offs, risks, and recommendations.

· Highly organized, outcome-oriented, and comfortable operating through ambiguity, changing priorities, and incomplete information.

· Hands-on mindset with the willingness to perform detailed analysis, documentation, coordination, testing, and problem solving when required.
Preferred Qualifications

· Experience leading AI, intelligent automation, digital operations, or enterprise operating-model transformation programs.

· Experience with process intelligence, process mining, or task mining platforms such as Mimica, Celonis, Skan, UiPath Process Mining, Microsoft Power Automate Process Mining, or similar tools.

· Experience delivering AI agents, GenAI-enabled workflows, decision support, intelligent document processing, conversational experiences, or autonomous and semi-autonomous operational workflows.

· Experience with automation and orchestration platforms such as Microsoft Power Platform, UiPath, Automation Anywhere, ServiceNow, AWS, Azure, or similar enterprise platforms.

· Familiarity with GenAI and agentic patterns such as retrieval-augmented generation, prompt and context engineering, tool calling, agent orchestration, model evaluation, observability, and human-in-the-loop controls.

· Experience working with AI engineering teams using AI-DLC, product management, Agile/Scrum, DevSecOps, CI/CD, or production support practices.

· Experience in background screening, regulated services, business process outsourcing, shared services, customer operations, or other high-volume and compliance-driven environments.

· Lean Six Sigma, PMP, PgMP, Prosci, Agile, Scrum, product management, or related transformation certification.

· Familiarity with AI governance frameworks such as ISO/IEC 42001 and the NIST AI Risk Management Framework.

AI Mindset

· Lead with business outcomes and measurable operational value rather than technology for its own sake.

· Use process evidence and operational data to determine where AI, automation, simplification, standardization, or human expertise will create the best result.

· Balance speed and experimentation with disciplined delivery, governance, security, compliance, and operational control.

· Design for reusable capabilities, scalable delivery, and continuous learning instead of one-off automation.

· Keep humans appropriately in control through clear decision rights, exception handling, monitoring, and feedback loops.

· Embrace ambiguity, create structure, drive decisions, and maintain momentum across multiple workstreams.

· Communicate transparently about progress, value, risks, constraints, and lessons learned.

· Promote workforce capability building and position AI as a way to increase capacity, quality, consistency, and innovation.
The annual base salary for this position ranges from $145,000 - $175,000. Pay will vary depending on job-related knowledge, skills, experience, and relevant education and training. This position may also be eligible for an annual performance-based bonus, commission, or other variable pay plan. The Company also offers a full range of benefits, including medical, dental, and 401k. Your recruiter can share more details about the specific compensation package during the hiring process.

The Accurate Way: 

We offer a fun, fast-paced environment, with lots of room for growth. We have an unwavering commitment to diversity, ensuring everyone has a complete sense of belonging here. To do this, we follow four guiding principles – Take Ownership, Be Open, Stay Curious, Work as One – core values that dictate what we stand for, and how we behave.

Take ownership. 

Be accountable for your actions, your team, and the company. Accept responsibility willingly, especially when it’s what’s best for our customers. Give others every reason to trust you, believe in you, and count on you. Rise to every occasion with your personal best.

Be open.

Be open to new ideas. Be inclusive of people and ways of doing things. Make yourself accessible and approachable, and communicate with genuineness, transparency, honesty, and respect. Embrace differences.

Stay curious. 

Stay curious even as you move forward. Tirelessly ask questions and challenge the status quo in your pursuit of new ideas, ways to solve problems, and to continually grow and improve.

Work as one. 

Work together to create the best customer and workplace experience. Put our customers and employees first—before individual or departmental agendas. Make sure they get the help they need to succeed.

Equal opportunities 

Accurate is an equal-opportunity employer and is committed to hiring talented and qualified individuals with diverse backgrounds. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected veteran status, age, or any other characteristic protected by law.

Accurate will consider for employment all qualified applicants, including those with criminal histories, in a manner consistent with the requirements of applicable state and local laws.

This posting is open for U.S.-based candidates who currently reside in the following states: AZ, CA, CO, DE, FL, GA, IL, KY, MD, MI, MN, NV, NH, NY, NC, OH, OK, PA, TN, TX, VA, WA, WV

Special Notice: 

Accurate is aware of schemes involving fraudulent job postings/offers and/or individuals or entities claiming to be employees of Accurate. Those involved are offering fabricated employment opportunities to applicants, often asking for sensitive personal and financial information. If you believe you have been contacted by anyone misrepresenting themselves as an employee of Accurate, please contact [email protected].

- Please be advised that all legitimate correspondence from an Accurate employee will come from "@accurate.com" email accounts.

- Accurate will not interview candidates via text or email. Our interviews are conducted by recruiters and leaders via the phone, Zoom/Teams or in an in-person format.

- Accurate will never ask candidates to make any type of personal financial investment related to gaining employment with the Company.