AI Product Manager - R01570252

About Brillio:

Brillio is one of the fastest growing digital technology service providers and a partner of choice for many Fortune 1000 companies seeking to turn disruption into a competitive advantage through innovative digital adoption. Brillio, renowned for its world-class professionals, referred to as "Brillians", distinguishes itself through their capacity to seamlessly integrate cutting-edge digital and design thinking skills with an unwavering dedication to client satisfaction.

Brillio takes pride in its status as an employer of choice, consistently attracting the most exceptional and talented individuals due to its unwavering emphasis on contemporary, groundbreaking technologies, and exclusive digital projects. Brillio's relentless commitment to providing an exceptional experience to its Brillians and nurturing their full potential consistently garners them the Great Place to Work® certification year after year.

Data Science Lead

Primary Skills

• CSPO

Specialization

• Product Management: Manager, Strategy & Consulting

Job requirements

AI Product Manager

Location: NY City, NY

Work Type: 3 days onsite per week

JD Description: We are seeking a talented individual to join our Data & Digital team. This is a hybrid role that has a requirement of working at least three days a week in the office.

The Product Leader will be responsible for the strategy, design, development, and delivery of AI and digital solutions. This role will manage initiatives from ideation through scaling, ensuring successful adoption and measurable business outcomes. You will collaborate closely with business leaders and product owners to define product roadmaps, align AI and digital capabilities with strategic priorities, and oversee cross-functional teams to deliver scalable, innovative solutions that transform systems, platforms, and client-facing products. We will count on you to:

• Partner with business and product leaders to shape the AI and digital product vision, define key use cases, and prioritize strategic initiatives that drive measurable business outcomes.
• Own the full product lifecycle, from concept through execution, ensuring all products are practical, scalable, and aligned with business objectives.
• Develop and drive the AI and Data strategy, collaborating with technical teams to integrate AI, machine learning, automation, and digital technologies into existing products and operations.
• Oversee the integration and management of both structured and unstructured data into AI models and digital solutions, ensuring data quality, governance, and compliance standards are met.
• Build and nurture strong relationships with business and product owner leaders, acting as a primary liaison between the Data & Digital team and business units to ensure clear communication, prioritization, and collaboration.
• Lead the execution of AI and digital initiatives, coordinating across teams to manage resources, timelines, and dependencies, while monitoring KPIs and establishing feedback loops to continuously optimize solutions.
• Ensure all AI and digital deployments are ethical, responsible, and compliant with security, privacy, and regulatory standards, managing risks related to data security, model explainability, and platform reliability.

What you need to have:

• 8–12 years of experience in AI product ownership, digital product leadership, or enterprise technology innovation.
• Proven track record of delivering AI and digital solutions at scale within complex environments.
• Strong understanding of AI/ML technologies, digital platforms, data architecture, and product design.
• Ability to engage and influence senior stakeholders across multiple business functions.
• Expertise in agile delivery methods and leading cross-functional teams.

What makes you stand out:

• Strong business acumen with the ability to translate AI and digital capabilities into tangible business outcomes.
• Experience delivering AI-driven and digital solutions at scale within complex organizations.
• Familiarity with responsible AI frameworks, digital governance, and data privacy regulations.

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