What are the responsibilities and job description for the Sr.Data Product Manager(Remote)-Enterprise Data&AI Platform position at Tandym Tech?
A leading enterprise organization is seeking a Senior Data Product Manager, Enterprise Data & AI Platform to guide the vision, roadmap, and delivery of a next-generation data and AI platform. This role focuses on enabling scalable analytics, machine learning, and AI-powered capabilities across the enterprise.
About the Opportunity:
Schedule: Monday through Friday
Hours: Standard business
Setting: Remote
Responsibilities:
Define and own the product vision, strategy, and multi-year roadmap for enterprise Data & AI platform capabilities.
Partner with executive leadership to align platform investments with organizational priorities and business outcomes.
Translate complex business objectives into scalable data products, AI capabilities, and platform services.
Lead large, cross-functional initiatives across product, engineering, data science, architecture, security, compliance, and operations teams.
Own product backlogs, prioritization frameworks, release planning, and adoption strategies while monitoring success metrics and business value realization.
Qualifications:
8 years of product management experience, including significant experience leading enterprise data, analytics, or AI initiatives.
Proven track record delivering large-scale, cross-functional technology programs spanning multiple stakeholder groups.
Experience owning product roadmaps for enterprise data platforms, analytics platforms, AI/ML products, or cloud-native platforms.
Strong understanding of modern data architectures and cloud-based data ecosystems.
Demonstrated ability to influence senior leadership and drive strategic decisions.
Experience operating in highly matrixed organizations with numerous stakeholders and competing priorities.
Strong understanding of data platforms and data ecosystems, data warehousing and lakehouse architectures, data governance and metadata management, AI/ML lifecycle management, generative AI and emerging AI technologies, data quality and platform reliability, API-driven architectures, and cloud platforms such as AWS, Azure, or Google Cloud Platform.
Desired Skills:
Experience launching AI-enabled products or GenAI capabilities in production environments.
Experience partnering with governance, compliance, privacy, and cybersecurity organizations.
Experience leading platform modernization initiatives across complex enterprise environments.
MBA or advanced degree in a related field.
Salary : $75