Key Responsibilities
Job Description:
The ideal candidate will lead the delivery and integration of AI capabilities across a suite of software products. This role bridges product strategy with execution—translating business needs into technical requirements and ensuring that AI-driven features deliver measurable value.
Responsibilities and Duties:
* Drive the execution and delivery of AI-powered features, use cases, and platform capabilities across multiple software products;
* Translate business and product team 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 (e.g., recruiting, onboarding, performance, learning, analytics, and public safety);
* Define and manage the product backlog for AI feature delivery, striking a balance between immediate priorities and 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;
* Oversee post-deployment validation, ensuring model accuracy, reliability, and user experience alignment.
Essential Skills and Qualifications:
* Proven experience managing AI/ML-driven product initiatives within software 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 this Role
This is an exciting opportunity to lead the development and implementation of AI-powered solutions. As a Product Owner, you will work closely with data science, engineering, and product teams to build scalable, high-impact AI solutions that enhance user experience and business performance.
About Us
We are a global digital engineering and modernization partner, working with leading enterprises and digital native companies. We offer a range of technology practices, including Product Engineering & Development, Cloud Services, Quality Engineering, DevSecOps, Data & Analytics, Digital Experience, Cybersecurity, and AI & LLM Engineering.
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