Lead Product Manager, AI & Data
New
P
phDataData Stack Consulting
United States, Latin America, and IndiaFull-TimeLead
Salary not disclosed
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Job Details
- Experience
- Significant experience
- Required Skills
- AWSAgileArtificial IntelligenceGCPMachine LearningSnowflakeAzureData modelingdbt
Requirements
- Significant experience in product management roles focused on data, analytics, or AI platforms and products
- Consulting experience with external clients, managing multiple priorities and stakeholders, including business development
- Hands-on experience with modern cloud data platforms and complementary tooling
- Understanding of data modeling/semantic modeling, analytics, and how AI/ML applications solve business problems
- Familiarity with data and AI architecture and governance concepts
- Proven ability to lead diverse, cross-functional teams (technical and non-technical) in an agile environment
- Demonstrated strength in client relationship management, building trusted relationships and translating business needs into technical solutions
- Strong grasp of agile and product development life cycles, including backlog management, iterative delivery, and KPI-driven decision making
- Experience working within change-heavy transformations (digital, data, analytics, AI), with an understanding of change management principles
- Strong analytical, problem-solving, and decision-making skills
- Excellent leadership, communication, presentation, and interpersonal skills
- Proficiency with project and product management tools and familiarity with AI-enabled execution tooling
- Willingness to travel as required by clients
Responsibilities
- Own solution vision and roadmap at the engagement level for client data and AI platforms/products, aligning to business objectives and helping clients advance their data maturity.
- Be the primary point of contact and trusted advisor for engagements, clarifying objectives, defining KPIs, and ensuring outcomes map to client value.
- Translate business needs into actionable technical direction, working with architects, engineers, analysts, and change leaders to define solution scope and requirements.
- Lead planning and execution using agile practices, coordinating cross-functional teams, timelines, and managing risk.
- Establish and operationalize KPIs for business, customer, product, and teams within engagements, monitoring performance and driving data-informed adjustments.
- Ensure quality, adoption, and continuous improvement of solutions through testing, validation, stakeholder feedback, and iteration.
- Contribute to business development by informing solution narratives, providing input to proposals, and joining client discussions.
- Stay current on industry trends, emerging technologies, and best practices in data, analytics, and AI, bringing relevant ideas into client engagements.
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