Product Manager - Data Engineering

Summary

Join Pax8 as a Product Manager, Data Engineering and drive the roadmap and strategy for data engineering initiatives, focusing on enabling downstream enterprise software functionality. Collaborate with data engineers, enterprise technology teams, and stakeholders to develop and optimize data warehouses, pipelines, and integrations. Leverage your experience in enterprise tools and data engineering to prioritize and deliver impactful solutions through data-driven decision-making. Apply design and product thinking to the data consumer experience and data engineering capabilities. Communicate product strategy and collaborate with other teams for efficient execution, enhancing growth and business value. Distill vision and strategy into an actionable roadmap aligned with business OKRs. Coordinate tactical execution, manage timelines, and ensure effective communication across teams. Stay informed of emerging trends in data engineering and enterprise technology tools. Guide trade-off decisions to maximize value and establish, track, and communicate progress using KPIs and OKRs. Demonstrate AI-first thinking.

Requirements

• At least three (3) years of product management experience in a technical domain, preferably in platform engineering, infrastructure, developer tooling, or an equivalent role
• Experience with: big data warehouse design, big data databases (Redshift, BigQuery, Hive, Presto, etc.), orchestration frameworks (Airflow, Glue, etc.), data streaming (Kafka), and working knowledge of modern data engineering principles and practices
• Experience building data infrastructure, services, processes, and advocating for their uses
• Strong understanding of data consumer pain points across departments and disciplines
• Scrupulous about value for the business; ability to understand and focus on what is most likely to bring ROI
• Experience with Agile/Scrum Software Development along with project management tools (Trello, Jira, Rally or equivalent) in a technical software development environment
• Experience prioritizing product backlogs and working closely with software engineers to write and refine stories for sprint execution
• In-depth knowledge of software delivery process, developer analytics best practice and tools, and basic software and data architecture principles
• Exceptional project management and interpersonal skills with experience managing multiple work streams across a variety of stakeholders
• Ability to work with considerable autonomy and minimal guidance, with a bias to action
• Proven ability to collaborate and problem-solve with diverse people in various parts of the organization
• Ability to vet the work, ask insightful questions, and have attention to detail
• Comfortable with ambiguity and can adapt to rapidly changing situations
• Data-driven by nature with the ability to make and justify difficult decisions
• Be deeply knowledgeable about the product area portfolio
• Track record of defining and delivering groups of enhancements that drive outcomes
• B.A./B.S. in related field or equivalent work experience

Responsibilities

• Lead the strategy and roadmap for data engineering. This area enhances growth by enabling data consumers to gain insights from various data sources, visualizations, and reporting. Ensure tools like ServiceNow, Salesforce, and Marketo use enterprise data effectively. Improve time-to-value from new data sources by upgrading data warehousing, implementing governance best practices, and developing tools, processes, and documentation
• Apply design and product thinking to the data consumer experience and data engineering capabilities
• Collaborate deeply with business and engineering stakeholders across the org to plan the right product improvements at the right time to meet a demonstrated market or business need
• Own and manage the data engineering product backlog, prioritizing features, enhancements, and operational improvements that align with strategic objectives
• Communicate product strategy and collaborate with other teams to ensure they understand the strategy for efficient execution, aiming to enhance growth, speed-to-market, and business value
• Distill vision and strategy into an actionable, focused roadmap that bolts into business OKRs; Socialize and advocate for the roadmap
• Coordinate tactical execution, manage timelines, track deliverables, and ensure effective communication across data engineering and delivery teams
• Facilitate sprint planning, stand-ups, retrospectives, and other agile ceremonies specific to the data engineering team
• Stay informed of emerging trends in data engineering, data governance, and enterprise technology tools
• Guide trade-off decisions to maximize value
• Establish, track, and communicate progress toward outcomes using key performance indicators (KPIs) and OKRs
• Demonstrate AI-first thinking

Preferred Qualifications

Expertise in using AI tools for product management and data engineering to improve skills, enhance work products, and drive outcomes

Benefits

• Non-Commissioned Bonus Plans or Variable Commission
• 401(k) plan with employer match
• Medical, Dental & Vision Insurance
• Employee Assistance Program
• Employer Paid Short & Long Term Disability, Life and AD&D Insurance
• Flexible, Open Vacation
• Paid Sick Time Off
• Extended Leave for Life events
• RTD Eco Pass (For local Colorado Employees)
• Career Development Programs
• Stock Option Eligibility
• Employee-led Resource Groups