Remote Manager, Data Team

Summary

Join Acquia as Manager of Data Engineering (Product Manager for Internal EDP) to drive the vision and execution of Acquia's Enterprise Data Platform, enabling real-time analytics, AI, and predictive insights.

Requirements

• Excellent Communication: Strong ability to communicate technical concepts to both technical and non-technical audiences
• Data Engineering Understanding: Solid understanding of data pipelines, ETL processes, data lakes (S3), data warehouses (e.g., Snowflake), and real-time analytics tools
• Cross-Functional Collaboration: Proven experience working with cross-functional teams to gather requirements and translate them into technical solutions
• Intrapreneurial Spirit: A self-starter who is comfortable championing new ideas, building support for them, and leading initiatives with little oversight
• Product Management: Experience with Agile methodologies, managing product backlogs, writing user stories, and prioritizing development sprints
• Stakeholder Management: Strong stakeholder management skills, with the ability to manage competing priorities and navigate complex organizational structures
• Technical Background: Understanding of the technical intricacies of data pipelines and platforms, with the ability to work closely with engineers to make informed technical decisions

Responsibilities

• Own the vision, strategy, and roadmap for Acquia’s Enterprise Data Platform
• Collaborate with engineering, data science, business, and product teams to gather requirements and ensure successful implementation of data pipelines and platform features
• Drive the adoption of the EDP within the organization by effectively communicating its value and working to overcome any resistance
• Serve as the primary point of contact for stakeholders across various business units, managing expectations, priorities, and timelines
• Work closely with the data engineering team to ensure that the technical architecture of the platform is robust, scalable, and meets business requirements
• Lead sprint planning, backlog grooming, and sprint reviews with engineering teams
• Clearly communicate the product vision and the technical details of the platform to both technical and non-technical stakeholders
• Stay up to date on the latest trends in data engineering, analytics, and cloud technologies to inform the development of the platform
• Define success metrics and KPIs to measure platform adoption, data quality, and business impact

Preferred Qualifications

• 5+ years of experience in product management, technical program management, or data engineering leadership roles. A total of more than 8 years of experience
• Proven track record of managing data products or platforms in an enterprise environment
• Experience with cloud platforms (AWS, GCP, or Azure) and services like S3, Snowflake, and data pipeline orchestration tools
• Familiarity with Meltano, Dagster, dbt, or similar ETL/ELT and orchestration frameworks
• Strong understanding of Agile methodologies, including managing backlogs, sprint planning, and grooming sessions

Benefits

• Competitive healthcare coverage
• Wellness programs
• Take it when you need it time off
• Parental leave
• Recognition programs