Job Summary
We are seeking a seasoned Ai Product Delivery Lead to join our team. As a key member of our product strategy and execution team, you will be responsible for leading the delivery and integration of Ai and automation capabilities across our suite of products.
This role requires a unique blend of business acumen, technical expertise, and interpersonal skills. You will need to coordinate closely with cross-functional teams, including data science, engineering, and product management, to build scalable, high-impact Ai solutions that enhance user experience and business performance.
Key Responsibilities
* Drive the execution and delivery of Ai-powered features and use cases across multiple products.
* Translate business and product requirements into actionable technical stories and sprint deliverables for data science and engineering teams.
* Collaborate with cross-functional squads to embed Ai and automation into existing product workflows.
* Define and manage the product backlog for Ai feature delivery, balancing short-term priorities with long-term platform scalability.
* Develop execution roadmaps, milestones, and release plans for model training, integration, and deployment across multiple product lines.
* Track key performance indicators (velocity, cycle time, release quality, adoption metrics) to ensure continuous improvement in delivery efficiency.
Required Skills
* Proven experience managing Ai/ML-driven product initiatives within SaaS environments.
* Strong understanding of agile methodologies and end-to-end product lifecycle management.
* Exceptional communication skills with the ability to translate complex technical concepts into business terms.
* Data-driven mindset with the ability to define success metrics and measure adoption and performance.
* Experience coordinating multidisciplinary teams (engineering, data science, product, and UX).
About Us
We are a digital engineering and modernization partner of leading enterprises and digital native companies. Our technology practices include product engineering & development, cloud services, quality engineering, devsecops, data & analytics, digital experience, cybersecurity, and ai & llm engineering.