AI Product Manager

Job Role: AI Product Manager

Location: Atlanta, GA (Onsite)

Duration: Long Term Contract

Job Description:

• We are looking for an experienced AI Product Manager to lead the development and delivery of AI-powered products that solve real business problems and create measurable value for customers.

• This role sits at the intersection of business, technology, data science, and user experience.

• The ideal candidate will be responsible for defining product vision, prioritizing investments, and working closely with engineering and AI teams to bring innovative solutions to market.

• The successful candidate will be able to translate complex business challenges into scalable AI-driven products while balancing customer needs, business objectives, regulatory requirements, and technical feasibility.

Key Responsibilities:

• Product Strategy & Roadmap:

• Define and communicate a clear vision and roadmap for AI-enabled products.

• Identify opportunities where AI and Generative AI can improve customer experience, enhance operational efficiency, or create new revenue streams.

• Partner with business leaders and customers to understand challenges and convert them into product opportunities.

• Build business cases, value propositions, and success metrics for AI initiatives.

• Product Development & Delivery:

• Own the product lifecycle from ideation to launch and ongoing optimization.

• Create and manage product backlogs, user stories, and feature prioritization.

• Collaborate with Data Scientists, Engineers, Architects, and UX teams throughout the development process.

• Define MVPs and drive iterative product releases based on customer feedback and business outcomes.

• Ensure products are delivered on time, within scope, and aligned with strategic objectives.

• AI & Data Collaboration

• Work closely with AI/ML teams to define model requirements, training approaches, and deployment strategies.

• Understand AI capabilities and limitations and help stakeholders make informed decisions.

• Drive adoption of Generative AI solutions, intelligent automation, predictive analytics, and recommendation engines where appropriate.

• Monitor product performance and recommend enhancements based on data-driven insights.

• Stakeholder Management

• Act as the primary liaison between business stakeholders, technology teams, and leadership.

• Present product strategies, roadmaps, progress updates, and outcomes to executive leadership.

• Facilitate workshops and discovery sessions to gather requirements and align priorities.

• Governance & Responsible AI

• Ensure AI products comply with organizational governance, security, privacy, and regulatory requirements.

• Advocate for ethical and responsible AI practices, including explainability, transparency, fairness, and risk management.

Required Qualifications

• Bachelor's degree in Computer Science, Engineering, Information Systems, Business, or a related field.

• 8+ years of experience in Product Management, Program Management, or Digital Product Development.

• 3+ years of experience working with AI, Machine Learning, Analytics, or Data-driven products.

• Strong understanding of Agile methodologies and product management best practices.

• Experience working with cross-functional teams in fast-paced environments.

• Excellent communication, stakeholder management, and leadership skills.

Preferred Qualifications

• MBA or Master's degree in a related discipline.

• Experience delivering Generative AI or Large Language Model (LLM)-based solutions.

• Experience within Banking, Financial Services, Insurance (BFSI), FinTech, or highly regulated industries.

• Familiarity with cloud platforms such as AWS, Azure, or Google Cloud.

• Experience with AI governance, model lifecycle management, and responsible AI frameworks.

Technical Knowledge:

• Exposure to one or more of the following:

• Artificial Intelligence & Machine Learning

• Generative AI and Large Language Models (OpenAI, Gemini, Claude, Llama)

• Natural Language Processing (NLP)

• Predictive Analytics

• Prompt Engineering

• MLOps and Model Lifecycle Management

• Data Platforms such as Snowflake or Databricks

• Cloud AI Services on AWS, Azure

• Analytics and Visualization Tools such as Power BI or Tableau

Role Descriptions:

• Lead the delivery of AI projects from initiation to deployment. Define project scope| schedules| and success metrics.

• Collaborate with cross-functional teams to ensure project success.

• Manage project risks and stakeholder communications. Drive the adoption of AI-enabled project management practices.

Essential Skills:

• Certifications like PMP or Scrum Master are beneficial.

• Experience with cloud platforms such as Azure or AWS is advantageous.

• Familiarity with the financial services sector is a plus.

• Understanding of AI cost governance is helpful.

• Exposure to AI risk management practices is desirable.

• Proven experience in managing AI-related projects is essential.

• Familiarity with AI-enabled SDLC tools is required.

• Strong communication and leadership skills are a must.

• Experience with Agile methodologies is crucial.

• Knowledge of AI governance and compliance is necessary.

Skills:

• Agile Specialisation~AI Transformation for HR~Change Management~Project Management

• Experience Required: 10 & Above