Data/AI Product Owner

Jobtailor

New Jersey

On-site

USD 150,000 - 210,000

Full time

5 days ago

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Job summary

Jobtailor is seeking a strategic Data Platform Lead to shape the multi-year data platform strategy and roadmap, aligning governance with enterprise tools. You will drive cloud migration to Lakehouse platforms (Databricks, Snowflake), evaluate AI/ML use cases, and sponsor proofs of concept while setting engineering standards.

The role collaborates with Platform ART and cross-functional teams to optimize performance, cost, and resilience, while promoting data literacy and best-practice BI tooling

Qualifications

Experience defining data platform strategies and roadmaps.
Ability to translate business needs into engineering deliverables.
Understanding of data quality, metadata, lineage, governance and lifecycle management.
Exposure to modern data platforms, cloud technologies, data integration patterns, analytics or AI-enabled capabilities.
Strong analytical and problem-solving skills; able to influence decisions across stakeholders.
Experience working in Agile delivery environments with cross-functional teams.
Curiosity and willingness to continually develop expertise.
Desirable: banking, payments, treasury, or regulated industries exposure.
Desirable: data product management, governance, or enterprise architecture initiatives.

Responsibilities

Define a multi-year data platform strategy and roadmap.
Convert architecture principles into actionable, cost-aware guidance.
Monitor and assess emerging data and analytics technologies.
Evaluate AI/ML use cases for scalability, risk, and business value.
Sponsor proofs of concept and set success criteria and engineering standards.
Scale validated patterns into reusable accelerators and templates, measuring ROI.
Drive migration from legacy warehouses to cloud-ready Lakehouse platforms (Databricks, Snowflake).
Collaborate with Platform ART, CTI, and System Teams to optimize performance, resilience, and cost.
Define reusable patterns for batch, streaming, APIs, and data services.
Align with enterprise data strategy, governance, and approved tools.
Embed responsible AI, model risk controls, lineage standards, and regulatory compliance.
Lead data literacy programs, training, and communities of practice.
Promote best practices for BI tools including ThoughtSpot, MicroStrategy, and Tableau.
Advise business, technology, and compliance teams on strategic impact and cost/benefit.
Partner with Product Owners and Agile Release Trains on platform strategy, AI innovation, and modernization.
Generate and communicate product vision and roadmap.
Collaborate with stakeholders to understand needs and problems.
Prioritize and refine product backlog stories.
Review and accept stories and make scope and requirements decisions.
Partner with teams to maximize technology and business value.

Skills

Data Platform Strategy

AI/ML Eval

Cloud Migration

Data Governance

Agile Delivery

Stakeholder Mgmt

Product Ownership

Architecture

Education

Agile

Data Management

Cloud

Tools

Databricks

Snowflake

Kafka

Starburst

ThoughtSpot

Tableau

MicroStrategy

Informatica

Azure

AWS

Job description

Define a multi-year data platform strategy and roadmap
Convert architecture principles into actionable, cost-aware guidance
Monitor and assess emerging data and analytics technologies
Evaluate AI/ML use cases for scalability, risk, and business value
Sponsor proofs of concept and set success criteria and engineering standards
Scale validated patterns into reusable accelerators and templates, measuring ROI
Drive migration from legacy warehouses to cloud-ready Lakehouse platforms such as Databricks and Snowflake
Collaborate with Platform ART, CTI, and System Teams to optimize performance, resilience, and cost
Define reusable patterns for batch, streaming, APIs, and data services
Align with enterprise data strategy, governance, and approved tools
Embed responsible AI, model risk controls, lineage standards, and regulatory compliance
Lead data literacy programs, training, and communities of practice
Promote best practices for BI tools including ThoughtSpot, MicroStrategy, and Tableau
Advise business, technology, and compliance teams on strategic impact and cost/benefit
Partner with Product Owners and Agile Release Trains on platform strategy, AI innovation, and modernization
Generate and communicate product vision and roadmap
Collaborate with stakeholders to understand needs and problems
Prioritize and refine product backlog stories
Review and accept stories and make scope and requirements decisions
Partner with teams to maximize technology and business value

Requirements

2+ years of experience in data, analytics, product ownership, data governance, business analysis, technology delivery, architecture, or related disciplines
Strong interest in data, analytics, AI, machine learning, intelligent automation, and emerging technologies
Understanding of data quality, metadata, lineage, governance, and data lifecycle management
Exposure to modern data platforms, cloud technologies, data integration patterns, analytics solutions, or AI-enabled capabilities
Strong analytical and problem-solving skills
Ability to translate business and technology requirements into practical delivery approaches and influence decisions across stakeholders
Excellent communication, stakeholder management, facilitation, and presentation skills
Experience working in Agile delivery environments with Product Owners, Architects, Engineering teams, and Agile Release Trains
Curiosity, learning agility, and willingness to continuously develop expertise
Desired: experience in banking, payments, treasury, financial services, or regulated industries
Desired: experience with data product management, data strategy, governance, or enterprise architecture initiatives
Desired: exposure to AI/ML, generative AI, intelligent automation, knowledge management, or advanced analytics
Desired: experience with Databricks, Snowflake, Kafka, Starburst, ThoughtSpot, Tableau, MicroStrategy, Informatica, or similar technologies
Desired: experience with Azure, AWS, or GCP
Desired: relevant certifications in Agile, Data Management, Cloud, AI, Analytics, or Product Management

Core Competencies

Demonstrates expertise in defining data platform strategies, evaluating AI/ML use cases, and driving cloud migration initiatives. Proficient in data governance, analytics solutions, and stakeholder collaboration to optimize technology and business value.

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