Posted 19 days ago
Senior Director – Internal Audit - Data Science and AI
@ emergiTEL Inc.
Remote in Canada
Overview
emergiTEL Inc. is hiring a Senior Director to lead Internal Audit's AI, product, and data science strategy and roadmap. The role builds a unified audit platform, leads and grows a high-performing team, and advises executives on AI-enabled risk detection and continuous monitoring. The posting lists Reston, VA, Washington, DC, or remote, with relocation assistance available.
Responsibilities:
- Lead the AI, analytics, and automation roadmap for Internal Audit
- Architect a unified audit platform with reusable data and AI assets
- Build and retain high-performing data science and AI talent
- Advise Audit executives and VP+ stakeholders on AI value and risk
- Enable continuous monitoring and automated evidence generation
Requirements summary:
- 8+ years in data science, AI, analytics, or audit technology
- 5+ years leading diverse technical teams
- Track record of delivering enterprise AI or analytics products
- Experience in regulated environments such as financial services
- Bachelor's degree or equivalent experience
Tools & skills
Source and dates
Source type not verified · cats
- Employer posting date
- 2026-10-21
- First seen by our source
- 2026-10-21
- Source record updated
- 2026-11-05
These dates describe the source record, not a live verification that the employer is still hiring. Check the original posting.
Job details
| Seniority | Director |
| Department | Data & analytics |
| Experience | 8+ years |
| Management experience | 5+ years |
| Manages people | Yes |
| Work setting | Office |
| Position | Mostly sitting |
| Physical demands | physical low · computer high |
| Languages | English |
| Education | Bachelor’s degree (required), Master’s degree (preferred) |
| Fields of study | computer science, data science, statistics, engineering, information systems |
Summary and details written by AI from the posting; the employer’s posting is the authority.
emergiTEL Inc.
Saved company profile
Historical company information from a saved The Jobs API profile (LinkedIn/Crunchbase fields). It is not live-verified; figures may have changed. Missing values remain unknown.
Reliability in Recruitment
Full company description
At emergiTEL, we are redefining what it means to connect exceptional talent with visionary organizations. Since our inception in 2006, we have built our reputation as a purpose-driven leader in recruitment and HR solutions. Our unique three-dimensional screening process goes beyond technical qualifications, delving into the critical aspects of soft skills and cultural alignment to deliver talent that truly transforms organizations. emergiTEL is a National Tier-1 staffing supplier to top North American brands in IT, Telecom, Retail, Banking, Insurance and Consulting verticals . We are a recognized-leader for providing the best placements, retention, and re-hire ratios. emergiTEL is more than a recruitment firm—we are your strategic partner for workforce transformation. Our global footprint enables us to operate seamlessly across major markets while maintaining a boutique approach to service. We are known for anticipating client needs, challenging conventional thinking, and delivering innovative solutions that create lasting value. We proudly serve a diverse range of organizations, from ambitious start-ups to global enterprises, spanning private, public, and not-for-profit sectors. Our clients return to us not just for the results we deliver but for the trust we build through every engagement. The foundation of emergiTEL’s success lies in our people and principles. We cultivate a dynamic and inclusive culture that champions creativity, adaptability, and authenticity. By empowering our team to think differently and act boldly, we consistently achieve extraordinary results for our clients. Our values are rooted in integrity, excellence, and collaboration. From leveraging cutting-edge technology to fostering genuine partnerships with clients and candidates, we ensure that every interaction is marked by trust and mutual respect. By understanding the intricate balance of skill, character, and culture, we help organizations uncover the right talent at the right time.
- LinkedIn followers
- 42,292
- People associated on LinkedIn
- 53
- Reported office locations
- 100 King St W, 2550, Toronto, Ontario M5X 1A9, CA
- 2010 Valley View Ln, Farmers Branch, Texas 75234, US
- 10124 Sheikh Zayed Rd, Trade Centre, Dubai, UAE, AE
- VISISTA, 4th Floor, Lumbini Ave, Plot #63, Hyderabad, Telangana 500032, IN
- Other recorded names
- emergiTEL
- Specialties
- Staffing
- Consulting
- Outsourcing
- Training
- Executive Search
- and Head Hunting
- Profile identifies a recruitment agency
- Yes
At emergiTEL, we are redefining what it means to connect exceptional talent with visionary organizations. Since our inception in 2006, we have built our reputation as a purpose-driven leader in recruitment and HR solutions. Our unique three-dimensional screening process goes beyond technical qualifications, delving into the critical aspects of soft skills and cultural alignment to deliver talent that truly…
| Field | Value |
|---|---|
| Industry | Staffing and Recruiting |
| Company size | 51-200 employees |
| Headquarters | Toronto, Ontario |
| Organization type | Privately Held |
| Year founded | 2006 |
| Specialties | StaffingConsultingOutsourcingTrainingExecutive Searchand Head Hunting |
| Open jobs on Jobsy | 74 |
| View page |
Internal Audit – Data Science – Senior Director
AKA Senior Director – Internal Audit - Data Science and AI
Reston, VA or Washington, DC or Open to Remote
JR2539
Relocation assistance is available for this job (subject to eligibility and business need) or Remote work may also be available.
In this dynamic senior leadership position in Audit, you will lead the AI, Product, and Data Science vision and be responsible for advancing Audit's AI strategy, analytics, automation, and enterprise technology delivery. You will build and scale industry-leading technology solutions that improve audit and overall enterprise risk management quality, efficiency, and insight generation while maintaining a well-managed governance of analytics and technology enablers. Your team will partner across Audit, Technology, Enterprise AI, data science, and risk organizations to architect reusable products in a unified platform to deliver AI-enabled capabilities that strengthen risk detection, continuous monitoring, evidence generation, and control-risk reporting. You will be accountable to build a team with high-performing top talent, delivering measurable efficiency and insight-gains, and positioning Audit as a beacon for innovation across the enterprise.
THE IMPACT YOU WILL MAKE
The Senior Director - Audit AI, Product and Data Science role will offer you the flexibility to make each day your own while working alongside people who care so that you can deliver on the following responsibilities:
· Lead the development and execution of Audit's AI, analytics, and automation roadmap in alignment with Board goals, Audit priorities, and the broader enterprise AI vision.
· Own the strategy, product roadmap, delivery, and adoption of AI, GenAI, analytics, and automation capabilities that produce measurable efficiency, quality, and insight gains across the audit lifecycle.
· Partner with Technology to architect and scale a unified audit platform that enables reusable data assets, analytics, automation, GenAI services, model operations, secure delivery, and enterprise-grade controls.
· Build destination talent by attracting, developing, and retaining high-performing data science, AI engineering, product, and automation professionals while upskilling the existing audit workforce.
· Serve as a strategic thought leader to Audit executives and VP+ stakeholders, challenging the organization to maximize value from AI and advanced analytics while managing data, model, operational, and ethical risks.
· Shape a platform-based approach that reduces time to market, increases reuse, and allows auditors to focus on work requiring professional judgment while AI supports anomaly detection, full-population testing, evidence generation, actionable insights, and control-risk reporting.
· Collaborate with Enterprise AI, data science, technology, risk, compliance, and business leaders to extend Audit-built capabilities across the three lines of defense and improve enterprise risk management effectiveness.
· Enable continuous monitoring, more robust risk detection, automated evidence generation, and deeper data-driven insights that establish Audit as a beacon of innovation and a destination for technical and future-skilled audit talent.
THE EXPERIENCE YOU BRING TO THE TEAM
Minimum Required Experiences
· 8 years of relevant experience in data science, AI, analytics, automation, product management, technology delivery, audit technology, or related enterprise technology functions.
· 5+ years of leadership experience building, coaching, and leading high-performing, diverse teams of data science, AI, automation, product, and technology professionals.
· Proven track record delivering enterprise AI, analytics, automation, or data products from strategy through production adoption with measurable business outcomes.
· Experience leading AI-enabled transformation in Internal Audit, risk, compliance, financial services, or another highly regulated enterprise environment.
· Deep expertise in AI/ML, GenAI, automation, advanced analytics, data platforms, cloud technologies, model lifecycle management, and scalable software/product delivery practices.
· Experience partnering with Technology to design and scale platforms, reusable capabilities / microservices, governed data products, APIs, and enterprise-grade AI capabilities.
· Strong understanding of data governance, model risk, responsible AI, and regulatory expectations in financial services or similarly regulated environments.
· Executive-level communication and influencing skills, with the ability to advise executives and VP+ stakeholders, challenge assumptions, and explain technical ideas clearly to non-technical audiences.
· Experience establishing strategies, operating models, talent plans, and performance measures that accelerate delivery, reuse, workforce adoption, and measurable efficiency gains.
· Bachelor's degree or equivalent experience in computer science, data science, statistics, engineering, information systems, business or a related field.
· Shows curiosity and adaptability in learning and responsibly applying new technologies, including artificial intelligence, to reimagine how we work.
Desired Experiences
· Advanced degree in computer science, data science, statistics, engineering, AI, analytics, business, finance, audit, risk, or a related field.
· Strong understanding of Audit, controls or risk management.
· Experience with GenAI/LLMs, retrieval-augmented generation, intelligent agents, NLP, anomaly detection, machine learning, orchestrated multi-agentic workflows, or knowledge graphs.
· Familiarity with cloud AI and data platforms, MLOps/LLMOps, model monitoring, data quality controls, secure software delivery, and enterprise architecture practices.
· Relevant certifications or credentials such as Machine Learning / Cloud / AI certifications, or equivalent professional experience.
Journal
Only you can see this. Kept on this device, and in your account when you sign in.