Data Product Manager - Databricks exp - Onsite - Boston, MA - Direct Client - JOBID720

We are seeking a highly skilled Data Product Manager with strong experience in Databricks and modern cloud-based data ecosystems to lead the strategy, development, and delivery of scalable enterprise data products. This role will work closely with business stakeholders, data engineering, analytics, AI/ML, and platform teams to build data-driven solutions that improve business performance, operational efficiency, and customer experience.

The ideal candidate will have deep expertise in data platforms, data governance, analytics, and product management, along with hands-on exposure to Databricks, Lakehouse architecture, and cloud data technologies.

Key Responsibilities

• Define and manage the roadmap, strategy, and vision for enterprise data products and data platforms built on Databricks.
• Partner with business and technology stakeholders to identify opportunities for leveraging data to improve scalability, margins, automation, and user experience.
• Work closely with Data Engineering, Data Science, Analytics, and AI teams to deliver scalable and reliable data solutions using Databricks Lakehouse architecture.
• Drive development of data products including self-service analytics platforms, customer 360 solutions, KPI dashboards, real-time reporting, AI/ML data pipelines, and data APIs.
• Translate business requirements into product requirements, user stories, and technical specifications.
• Prioritize product backlog and manage delivery in Agile/Scrum environments.
• Ensure strong data governance, data quality, metadata management, lineage, and security practices across data products.
• Collaborate with architecture teams to optimize data ingestion, transformation, and consumption frameworks.
• Define KPIs and product success metrics to measure adoption and business impact.
• Support AI/ML and GenAI initiatives by enabling trusted, scalable, and high-quality datasets.
• Evaluate emerging technologies and industry trends related to Databricks, cloud data platforms, AI, and advanced analytics.

Required Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Engineering, Business, or related field.
• 7+ years of experience in Product Management, Data Product Management, Data Analytics, or Data Platform roles.
• Strong experience working with Databricks and modern data platforms.
• Deep understanding of Databricks Lakehouse architecture, Delta Lake, Spark, and large-scale data processing.
• Experience with cloud platforms such as AWS, Azure, or GCP.
• Strong understanding of ETL/ELT pipelines, data warehousing, data lakes, APIs, and real-time data processing.
• Experience with BI and analytics tools such as Tableau, Power BI, Looker, or similar platforms.
• Familiarity with AI/ML data workflows and enabling data products for advanced analytics.
• Strong understanding of data governance, data quality, cataloging, and compliance frameworks.
• Experience working in Agile/Scrum delivery models.
• Excellent communication, stakeholder management, and leadership skills.