AI Transformation Manager – Internal Control

Jobtailor

Dearborn (MO)

On-site

USD 180,000 - 240,000

Full time

14 days+

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Job summary

Jobtailor in the United States seeks a senior leader to own AI and automation transformation within Internal Control. You will set strategy, priorities, and standards across regions, champion AI and smart automation in controls evaluation, and reimagine process maps identifying AI enablers.

You will partner with regional leads and the India Data Science team to translate business requirements into technical specs, govern pilots, and ensure compliance with S-Ox, GDPR, and data privacy.

Qualifications

Bachelor's degree in Business, Accounting, Data Science, or Information Systems.
7+ years of experience with internal controls, Internal Audit, or Big 4 auditing.
Experience leading digital transformation or automation initiatives across a global organization.
Hands-on daily use of AI tools (ChatGPT, Claude, Copilot) and workflow automation.
Ability to demonstrate productivity gains from AI tools.
Experience in process mapping, baselining, and enterprise change management.
Familiarity with COSO and GAAP.

Responsibilities

Serve as global program owner for AI and automation transformation within Internal Control, setting strategy, priorities, and standards across all regions
Champion AI and smart automation efficiencies in manual controls evaluation procedures
Baseline and prioritize control workflows and build reimagined process maps identifying AI enablers
Implement proactive, continuous control monitoring and expanded controls testing coverage through AI and automation
Partner with regional Internal Control leads to prioritize pain points and drive adoption
Direct prioritization of work with India-based Data Science team and translate business requirements into technical specifications
Govern sandbox pilots and decide on scaling, redesign, or sunset
Lead global design and implementation of AI and automation solutions with regulatory compliance
Develop and refresh the global AI transformation roadmap
Serve as subject matter expert on AI literacy and internal control use cases
Apply AI to automate program-management workflows and dashboards
Own dashboards tracking metrics, pilot status, and ROI
Build business cases quantifying efficiency gains and cost savings
Develop change-management plans, training, and playbooks for AI adoption
Translate AI initiatives into executive communications
Facilitate global forums and track AI/ML trends

Skills

Executive communication

Cross-cultural collaboration

Team leadership

Problem solving

Adaptability

Education

Bachelor's degree in Business, Accounting, Data Science, or Information Systems

Tools

ChatGPT

Claude

Copilot

Python

SQL

Power BI

UiPath

Alteryx

Cloud Platforms

Data Pipelines

Job description

Serve as global program owner for AI and automation transformation within Internal Control, setting strategy, priorities, and standards across all regions
Champion AI and smart automation efficiencies in manual controls evaluation procedures
Baseline and prioritize control workflows and build reimagined process maps identifying AI enablers
Implement proactive, continuous control monitoring and expanded controls testing coverage through AI and automation
Partner with regional Internal Control leads to prioritize pain points, reflect regulatory and cultural nuances, and drive adoption
Direct prioritization of work with the India-based Data Science team and translate business requirements into technical specifications
Govern sandbox pilots and decide whether pilots scale, are redesigned, or sunset
Lead global design and implementation of AI and automation solutions while ensuring compliance with S-Ox, GDPR, data privacy, and model risk management requirements
Develop and annually refresh the global AI transformation roadmap
Serve as subject matter expert on AI literacy and internal control use cases
Apply AI tools to automate program-management workflows, including status reporting, meeting synthesis, risk flags, and task tracking
Own intelligent dashboards tracking metrics, pilot status, and projected ROI
Build business cases quantifying efficiency gains, risk reduction, and cost savings
Develop change-management plans, training, and playbooks for global AI adoption
Translate technical AI initiatives into concise executive communications
Facilitate global forums with regional leads and the India Data Science team and track emerging AI/ML trends

Requirements

Bachelor's degree in Business, Accounting, Data Science, or Information Systems
7+ years of experience with internal controls, Internal Audit at a large public company, or Big 4 auditing
Experience leading digital transformation or automation initiatives, ideally across a global organization
Hands-on daily use of modern AI tools, including ChatGPT, Claude, Copilot, prompt engineering, and workflow automation
Ability to demonstrate personal productivity gains from AI tools
Experience in process mapping, workflow baselining, and enterprise change management
Experience with the COSO Internal Control Framework
Experience with cross-cultural, geographically distributed, matrixed/dotted-line teams
Exceptional executive communication skills and ability to distill technical concepts into actionable business strategy
CPA, CIA, PMP, or AIGP certification is advantageous
Familiarity with RPA platforms or data analytics tools such as Python, SQL, Power BI, UiPath, and Alteryx is advantageous
Experience directing offshore/global Data Science or IT teams is advantageous
Experience conducting external benchmarking is advantageous
Understanding of GAAP, financial reporting, and internal control best practices is advantageous
Familiarity with cloud platforms, data pipelines, and AI experimentation toolchains is advantageous
Must be legally authorized to work in the United States
Visa sponsorship is not available

Core Competencies

Demonstrates expertise in AI and automation transformation within Internal Control, focusing on strategy development, process mapping, and compliance with regulatory standards. Proficient in leading cross-cultural teams and translating technical AI initiatives into actionable business strategies.

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