
AI Delivery Manager
ThetaRay · Hod HaSharon, Center District, Israel
- On site
- Full-time
- $120,000 / year
- Hod HaSharon, Center District, Israel
Job highlights
- Lead AI project delivery for global customers.
- Implement AI/ML models and data pipelines.
- Manage cross-functional teams and stakeholders.
- Ensure timely project completion with impact.
- Work with top banks fighting financial crime.
About the role
AI Delivery Manager
ThetaRay provides AI-driven anti-financial crime technology used by global banks and fintechs to detect money laundering and financial crimes.
Our Israel office is a key hub where Product, Data Science, Engineering, and Delivery teams work together to deliver high-quality, timely implementation of ThetaRay’s solutions.
We are looking for an AI Delivery Manager to join our team and lead the delivery of AI-driven solutions across global customers.
About the Role
In this role, you will drive end-to-end project delivery, working closely with customers to implement AI/ML models, integrate data pipelines, and ensure successful deployment. You will collaborate with Product, Data Science, and Engineering to align delivery execution, manage stakeholders, and ensure projects are delivered on time with measurable impact. This hybrid role combines project leadership, technical expertise, and customer engagement, ensuring our AI platforms deliver measurable impact in the fight against financial crime.
Key Responsibilities:
- Own the end-to-end delivery of AI implementation projects with global customers.
- Act as the primary point of contact for customer stakeholders throughout the project lifecycle.
- Lead project planning, timelines, and execution while managing cross-functional teams (Product, Data Science, FCE).
- Oversee integration of customer data pipelines and configuration of AI/ML models.
- Translate business and regulatory requirements into practical AI-driven solutions.
- Present project milestones, results, and success metrics to senior stakeholders.
- Ensure smooth knowledge transfer and customer enablement post-implementation.
Requirements:
- B.Sc./M.Sc. in Computer Science, Engineering, Mathematics, or related technical field.
- 3–5 years experience in project delivery, data engineering, or software implementation.
- Hands-on technical skills: Python, SQL (Big Data, Spark, or cloud platforms – advantage).
- Strong understanding of AI/ML concepts.
- Excellent customer-facing and communication skills; ability to influence senior stakeholders.
- Proven ability to manage complex, multi-stakeholder projects on time and within scope.
- Fluent English (spoken and written).
- Interest or experience in financial crime & compliance (AML, Fraud, Sanctions, KYC) – strong advantage.
Why Join Us?
- Lead high-impact AI projects with top global banks and fintechs.
- Be at the frontline of AI innovation in financial crime prevention.
- Work in a fast-growing company with opportunities to grow into senior leadership roles.
- Combine technical expertise, customer engagement, and real-world business impact.
Key skills/competency
- AI/ML
- Python
- SQL
- Data Integration
- Project Delivery
- Software Architecture
- Agile Methodologies
- Customer Engagement
- Financial Crime
- Project Management
Skills & topics
- AI Delivery Manager
- AI
- Machine Learning
- Project Management
- Data Integration
- Python
- SQL
- Software Implementation
- Customer Facing
- Fintech
How to get hired
- Tailor your resume: Highlight AI/ML, Python, SQL, and project delivery experience relevant to ThetaRay's anti-financial crime solutions.
- Showcase technical skills: Emphasize your B.Sc./M.Sc. and 3-5 years in data engineering or software implementation.
- Demonstrate customer focus: Provide examples of managing complex, multi-stakeholder projects and influencing senior stakeholders.
- Express interest in finance: Mention any experience in financial crime, AML, Fraud, or KYC as a strong advantage.
- Prepare for technical and behavioral questions: Be ready to discuss AI/ML concepts and your project management approach.
Technical preparation
Behavioral questions
Frequently asked questions
- What are the key technical skills required for the AI Delivery Manager role at ThetaRay?
- For the AI Delivery Manager position at ThetaRay, key technical skills include a strong understanding of AI/ML concepts, hands-on experience with Python and SQL, and proficiency in data integration. Experience with Big Data, Spark, or cloud platforms is considered an advantage. A B.Sc./M.Sc. in a technical field is also a requirement.
- How does ThetaRay's hybrid work model function for the AI Delivery Manager?
- The AI Delivery Manager role at ThetaRay is a hybrid position, meaning it combines working remotely with some on-site presence at their Israel office. This model allows for flexibility while fostering collaboration within the Product, Data Science, Engineering, and Delivery teams.
- What is the typical career growth path for an AI Delivery Manager at ThetaRay?
- ThetaRay is a fast-growing company, and they offer opportunities for employees to grow into senior leadership roles. As an AI Delivery Manager, you can advance by leading high-impact AI projects, gaining experience at the forefront of AI innovation in financial crime prevention, and combining technical expertise with customer engagement.
- What kind of projects will an AI Delivery Manager work on at ThetaRay?
- An AI Delivery Manager at ThetaRay will lead end-to-end delivery of AI-driven anti-financial crime solutions for global customers, including top banks and fintechs. This involves implementing AI/ML models, integrating data pipelines, and ensuring successful deployment to detect money laundering and other financial crimes.
- Is experience in financial crime or compliance necessary for the AI Delivery Manager role?
- While not strictly mandatory, an interest or experience in financial crime and compliance (such as AML, Fraud, Sanctions, KYC) is considered a strong advantage for the AI Delivery Manager position at ThetaRay. It indicates a valuable understanding of the domain ThetaRay's technology addresses.