Project Lead - DW & Analytics

Job Purpose
The Project Lead will be responsible for managing multiple complex data warehouse and analytics development projects simultaneously. The Project Lead is responsible for meeting key performance objectives, managing issues to resolution, managing risk, managing program scope changes effectively, and ensuring that the work completed adheres to all company and department standards and processes.

A successful Project Lead must be self-motivated, results-oriented, meticulous in detail and able to thrive in a fast-paced environment. This role requires frequent interaction with business stakeholders, project managers, developers, quality assurance, and infrastructure teams to ensure the delivery of a quality system.

Responsibilities:

• Direct management of data warehouse and analytics development projects
• Create cross-functional plans that include scope definition, schedules, stakeholder identification, resourcing, communication plans, and risk analysis
• Lead effective team/scrum meetings to facilitate progress, manage the critical path, and identify and communicate risks and mitigation plans
• Facilitate regular status meetings to report progress to stakeholders and executives
• Demonstrate strong business and data warehouse systems knowledge and apply that knowledge to support business initiatives
• Provide leadership and valuable insight into planning, prioritization, risk management, and decision-making
• Collaborate with multiple stakeholders to gather and prioritize requirements, while facilitating project scope and associated timelines

Knowledge and Experience:

• 3+ years of technology project management experience
• Experience in a data warehouse and analytics development environment is a plus
• Proven success managing multiple, concurrent projects and ensuring development efforts remain on task relative to business priorities
• Experience managing projects using iterative software development methodologies (e.g., Agile, Scrum, etc.) and demonstrated ability to drive ongoing process improvement
• Experience identifying, managing, and communicating project and technology risks and mitigation strategies
• Strong communication, time management, and problem-solving skills
• Experience with release management processes and coordinating deployments
• Experience managing projects leveraging data warehouse technologies such as SQL, ETL tools, and data modeling is a plus
• Exposure to analytics tools and platforms such as Power BI, Tableau, or similar is a plus
• Familiarity with big data technologies like Snowflake, AWS Redshift, Google BigQuery, Azure Synapse
• Experience with projects involving data integration and data quality tools.
• Familiarity with collaboration and productivity tools like JIRA, Confluence, SharePoint, Teams or Slack, and Microsoft Office suite
• Experience with internal and/or external audit engagements is a plus

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Intercontinental Exchange, Inc. is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to legally protected characteristics.