AI Product Owner
MCI · United States
- Hybrid
- Full-time
- $120,000 / year
- United States
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Job highlights
- Lead AI product delivery and strategy.
- Manage product backlogs and user stories.
- Collaborate with business and tech teams.
- Drive AI innovation and business value.
- Requires 4+ years in product ownership.
About the role
About MCI
MCI is a rapidly growing tech-enabled business services company in the USA with a significant call center presence and operations spanning multiple countries. We offer Customer Experience (CX), Business Process Outsourcing (BPO), and Anything-as-a-Service (XaaS) cloud technology solutions to diverse industries like healthcare, retail, government, education, telecom, technology, e-commerce, and financial services. Our contact centers utilize both on-site and remote agents, employing advanced technologies to improve customer journeys, scale operations, and reduce costs. At MCI, we are dedicated to cultivating an environment where professionals can build fulfilling careers, access ongoing learning and development, and contribute to the success of a globally expanding, industry-leading organization.Job Overview
We are seeking a highly motivated AI Product Owner to lead the delivery of AI-powered products and solutions. This role acts as a crucial link between business stakeholders and technical teams, ensuring AI initiatives align with strategic goals and deliver tangible value to customers and users. The selected candidate will be responsible for managing product backlogs, defining requirements, and collaborating with AI engineers, product managers, and stakeholders throughout the entire product lifecycle.Key Responsibilities
Product Ownership & Backlog Management
- Manage product priorities and delivery outcomes.
- Own and maintain AI product backlogs.
- Define user stories, acceptance criteria, and priorities.
- Ensure development efforts align with business objectives.
- Support sprint planning and Agile delivery activities.
Requirements Gathering & Solution Design
- Translate business needs into actionable product requirements.
- Engage stakeholders to understand business challenges.
- Document functional and non-functional requirements.
- Collaborate with technical teams on solution design.
- Support product discovery and validation activities.
Stakeholder Collaboration
- Facilitate communication across business and technology teams.
- Act as the primary liaison between stakeholders and delivery teams.
- Manage expectations and communicate priorities.
- Support decision-making and issue resolution.
- Facilitate workshops and requirement-gathering sessions.
Product Delivery & Continuous Improvement
- Ensure successful implementation and ongoing optimization.
- Monitor product performance and user adoption.
- Gather feedback and identify enhancement opportunities.
- Support product releases and rollout activities.
- Drive continuous improvement initiatives.
AI Innovation & Business Value
- Support the effective adoption of AI technologies.
- Identify opportunities for AI-driven business improvements.
- Evaluate new features and capabilities.
- Contribute to AI product strategy discussions.
- Promote responsible AI practices within product development.
Qualifications
- Bachelor's Degree in Business, Information Systems, Technology, Engineering, Computer Science, or a related field.
- Minimum 4 years of experience as a Product Owner, Business Analyst, Product Manager, or similar role.
- Experience working within Agile delivery environments.
- Strong understanding of product development methodologies.
- Experience managing backlogs and user stories.
- Ability to translate business requirements into technical solutions.
- Strong stakeholder management and facilitation skills.
- Excellent communication and presentation abilities.
- Strong analytical and problem-solving capabilities.
- Experience working with technical delivery teams.
- Ability to manage competing priorities effectively.
- Strong organizational and planning skills.
Nice to Have
- Experience supporting AI, machine learning, or automation initiatives.
- Product Owner certifications such as CSPO or PSPO.
- Experience working with Generative AI products.
- Familiarity with Agile scaling frameworks.
- Experience in SaaS or technology environments.
- Knowledge of AI governance principles.
- Exposure to AI product development lifecycles.
- Experience supporting enterprise digital transformation initiatives.
Work Environment
This role operates in a professional office environment. Employees will be largely sedentary, sitting/standing for extended periods while using computers and phone headsets. Regular operation of office equipment such as computers, phones, copiers, and printers is required. Occasional movement within the office, reaching, lifting, and moving objects up to forty (40) pounds may be necessary.Equal Opportunity Employer
MCI embraces diversity and believes in fostering an inclusive work environment. We are an equal opportunity employer and do not discriminate on the basis of age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex, sexual orientation, or any other characteristic protected by law. We consider qualified applicants with criminal histories in accordance with applicable laws.Key skills/competency
- AI Product Owner
- Product Management
- Agile Methodologies
- Stakeholder Management
- Requirements Gathering
- Product Backlog
- User Stories
- AI Engineering
- Machine Learning
- SaaS
Skills & topics
- AI Product Owner
- Product Management
- Agile
- Scrum
- Business Analysis
- Requirements Gathering
- Machine Learning
- Artificial Intelligence
- SaaS
- Technology
How to get hired
- Tailor your resume: Highlight AI product ownership, Agile experience, and stakeholder management skills.
- Complete the application: Ensure all screening questions and the pre-employment test are finished on the MCI careers page.
- Showcase AI acumen: Emphasize any experience with AI, machine learning, or Generative AI products.
- Prepare for interviews: Be ready to discuss your product strategy, backlog management, and collaboration examples.
- Demonstrate problem-solving: Highlight your analytical skills and ability to translate business needs into technical solutions.
Technical preparation
Study AI/ML concepts and applications.,Review Agile and Scrum best practices.,Practice writing user stories and acceptance criteria.,Familiarize with product management tools.
Behavioral questions
Describe a complex product backlog you managed.,How do you handle conflicting stakeholder priorities?,Give an example of translating business needs.,Share your experience with AI product challenges.
Frequently asked questions
- What is the main responsibility of an AI Product Owner at MCI?
- The AI Product Owner at MCI is primarily responsible for driving the delivery of AI-powered products and solutions. This involves managing product backlogs, defining requirements, and bridging the gap between business stakeholders and technical teams to ensure AI initiatives align with strategic objectives and deliver value.
- What are the minimum qualifications for the AI Product Owner role at MCI?
- To be considered for this AI Product Owner position at MCI, candidates need a Bachelor's Degree in a related field (Business, IT, Engineering, etc.) and a minimum of 4 years of experience in a similar role (Product Owner, Business Analyst, Product Manager). Experience in Agile environments and with backlog management is also essential.
- Does MCI require specific certifications for the AI Product Owner position?
- While not strictly required, MCI lists Product Owner certifications such as CSPO or PSPO as a 'Nice to Have' for the AI Product Owner role. Having these certifications can strengthen your application by demonstrating formal training in Agile product ownership.
- What is the importance of stakeholder collaboration for an AI Product Owner at MCI?
- Stakeholder collaboration is crucial for an AI Product Owner at MCI. You will act as the primary liaison, facilitating communication between business and technology teams, managing expectations, and supporting decision-making to ensure AI products meet business needs and achieve desired outcomes.
- How does MCI support career growth for its AI Product Owners?
- MCI is committed to fostering meaningful careers by providing access to continuous learning and development opportunities. As an AI Product Owner, you can expect to contribute to AI strategy and work with advanced technologies, supporting your professional growth within an industry-leading organization.
- What kind of AI experience is preferred for this role at MCI?
- MCI prefers candidates with experience supporting AI, machine learning, or automation initiatives. Experience with Generative AI products, AI governance principles, and AI product development lifecycles are also highly regarded 'Nice to Have' qualifications.
- What is the application process for the AI Product Owner role at MCI?
- To apply for the AI Product Owner position at MCI, you must complete a full application on their company careers page. This includes answering all screening questions and completing a brief pre-employment test.