Summary:
The Director of AI ML will be a key strategic and technical leader within ADT’s Data & AI organization. This individual will be responsible for leading a high-performing team of data scientists and machine learning engineers to tackle our most challenging business and technical problems. Leveraging deep expertise in statistical modeling, machine learning, and scalable AI, the Director will translate ADT's vast data assets—from smart home IoT telemetry to customer touchpoints—into actionable business value and predictive products.
The ideal candidate is an inspiring people leader, a hands-on strategic thinker, and a creative problem-solver. This role requires a strong balance of technical depth, people management, and the business acumen necessary to collaborate closely with executive stakeholders while delivering within real-world constraints
Duties and Responsibilities:
- Team Leadership & People Management: Build, lead, and inspire a world-class team of data scientists; provide active mentorship, career development, and technical guidance.
- Strategic AI/ML Roadmap: Define and execute the data science roadmap, aligning technical initiatives with ADT's broader business goals, customer retention strategies, and product development.
- End-to-End Delivery: Oversee complex data science projects from conception through to deployment, ensuring models are scalable, robust, and successfully integrated into production systems.
- Advanced Technical Stewardship: Ensure the team applies rigorous statistical modeling, machine learning, and data mining techniques to drive measurable business growth.
- Cross-Functional Collaboration: Partner closely with Marketing, Sales, Operations, and Executive leadership to identify high-impact business opportunities and design AI-driven solutions.
- Data Pipeline & Infrastructure Strategy: Collaborate with data platform and engineering teams to champion modern MLOps practices, streamline data pipelines, and improve experimental velocity.
- Executive Communication: Translate highly technical and complex data science concepts, model performance metrics, and strategic recommendations to both technical and non-technical audiences.
- Measurement & Experimentation: Champion experimental design (A/B testing) and advanced measurement strategies to robustly validate the impact of deployed data products.
- Education: Master’s degree or PhD (preferred) in a quantitative field such as Computer Science, Statistics, Mathematics, or a related discipline.
- Experience: 10+ years of hands-on experience in data science, with at least 3+ years of direct people management experience leading technical teams.
- Proven Track Record: Successfully led the development and deployment of major, production-grade data products or machine learning models that drove measurable revenue growth, cost savings, or operational efficiency.
Minimum Qualifications:
Technical Depth: Proficient in statistical modeling, machine learning techniques, and programming languages like Python, with a strong understanding of cloud data architectures Google Cloud Platform (GCP), specifically Vertex AI (Pipelines, Feature Store, Model Registry), BigQuery, and Google Cloud Storage (GCS).
- Leadership & Communication: Exceptional leadership, communication, and collaboration skills, with a proven ability to influence executive stakeholders and cross-functional partners.
Communication Skills:
Writing, Talking/Hearing on the phone (Continually=67-100% of workday)
Environment Requirements:
Remote/Home office (Continually=67-100% of the workday)
Skills Required
- 10+ years of hands-on data science experience
- 3+ years of direct people-management experience leading technical teams
- Proficiency in statistical modeling and machine learning techniques
- Programming experience with Python
- Strong understanding of Google Cloud Platform data architectures
- Experience with Vertex AI, including Pipelines, Feature Store, and Model Registry
- Experience with BigQuery and Google Cloud Storage
- Exceptional leadership, communication, and collaboration skills
- Ability to influence executive stakeholders and cross-functional partners
- Master’s degree or PhD in computer science, statistics, mathematics, or a related quantitative field
- Track record of developing and deploying production-grade data products or machine learning models with measurable business impact
ADT Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about ADT and has not been reviewed or approved by ADT.
-
Retirement Support — A 401(k) with a per‑paycheck company match and the possibility of an additional year‑end contribution is positioned as competitive. Feedback suggests this is a reliable anchor of total compensation value.
-
Parental & Family Support — Paid parental leave, adoption/infertility support, and childcare discounts are highlighted as part of the package. Feedback suggests these offerings add meaningful non‑cash value across different employee groups.
-
Wellbeing & Lifestyle Benefits — Core medical/dental/vision coverage is paired with an EAP, wellbeing programs, and employee discounts, with noted emphasis on mental‑health initiatives. Eligibility beginning the first of the month after 31 days in many roles reinforces accessibility and day‑to‑day usefulness.
ADT Insights
What We Do
ADT is the most trusted brand in smart home and business security. Through innovative products, partnerships and the largest network of smart home security professionals in the United States, we connect and protect what matters most to our customers at home, work and on the go. For more information, visit www.adt.com.
.png){kind=logo}
