Data Product Manager

IT America Inc; Austin (TX); Hybrid; USD 140,000 - 180,000; Full time

Job summary

IT America Inc. in Austin, TX is seeking a seasoned Data Analytics with Product Management professional to lead the strategy and delivery of data platforms and analytics initiatives.

This hybrid role blends product ownership with hands-on analytics and data engineering oversight, guiding cross-functional teams to deliver value. The ideal candidate has 10+ years in product management and data engineering, deep knowledge of cloud data ecosystems, BI tools, and modern data technologies, and excels

Qualifications

• 10+ years of experience in product management, data platform delivery, analytics delivery, data engineering, enterprise technology delivery, or related roles.
• Experience managing product backlogs, roadmaps, epics, features, user stories, acceptance criteria, prioritization routines, and stakeholder engagement for data or technology platforms.
• Experience working with enterprise data platforms, cloud data ecosystems, lakehouse or warehouse environments, data pipelines, data quality, governance, metadata, lineage, semantic layers, BI platforms, or MDM capabilities.
• Experience with modern data and analytics technologies such as Databricks, Azure, Power BI, MicroStrategy, Snowflake, SQL, Python, Spark, orchestration tools, catalog or governance platforms, and data quality tooling preferred
• Experience supporting agile delivery teams in a scrum master, delivery lead, product owner, or product manager capacity.

Responsibilities

• Define and drive product strategy and backlog for data/analytics platforms.
• Collaborate with engineering, data, and business teams to align on roadmaps and priorities.
• Translate complex data needs into business outcomes and measurable increments.
• Coordinate releases and manage dependencies in an agile environment.

Skills

Product management mindset

Backlog & roadmap management

Agile delivery facilitation

Stakeholder engagement

Data platform delivery

Communication of roadmap decisions

Tools

Databricks

Azure

Power BI

MicroStrategy

Snowflake

SQL

Python

Spark

Orchestration tools

Data governance platforms

Data quality tools

Job description

Position: Data Analytics with Product Management

Location: Austin, Texas Hybrid (3D onsite, 2D Remote)

Duration: 12+ Months

Job Description:

• At least 10+ years of experience in product management, data platform delivery, analytics delivery, data engineering, enterprise technology delivery, or related roles.
• Experience managing product backlogs, roadmaps, epics, features, user stories, acceptance criteria, prioritization routines, and stakeholder engagement for data or technology platforms.
• Experience working with enterprise data platforms, cloud data ecosystems, lakehouse or warehouse environments, data pipelines, data quality, governance, metadata, lineage, semantic layers, BI platforms, or MDM capabilities.
• Experience with modern data and analytics technologies such as Databricks, Azure, Power BI, MicroStrategy, Snowflake, SQL, Python, Spark, orchestration tools, catalog or governance platforms, and data quality tooling preferred
• Experience supporting agile delivery teams in a scrum master, delivery lead, product owner, or product manager capacity.

Skills Required:

• Strong product management mind-set with ability to define value, prioritize demand, sequence delivery, manage trade-offs, and communicate roadmap decisions clearly.
• Working knowledge of SQL, data pipelines, ETL / ELT, analytics consumption patterns, dash boarding, data validation, platform observability, and cloud platform concepts.
• Strong understanding of modern data platforms, analytics platforms, semantic modeling, data quality, governance, MDM, metadata, lineage, access controls, and cloud data architecture concepts.
• Ability to translate complex technical needs into business-oriented product outcomes, delivery increments, acceptance criteria, and executive-ready updates.
• Strong agile delivery facilitation skills, including backlog refinement, sprint planning, dependency management, impediment removal, release coordination, and retrospective-driven improvement.