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LightEdge is seeking a skilled Director of Data and Analytics to take on a senior leadership role centered around setting the overall vision and strategy for data and analytics within the company. This individual will ensure that data is not only collected and governed effectively, but also leveraged to unlock insights, drive automation, and enable AI/ML-powered innovation. The Director of Data and Analytics will also Lead and mentor a team of data engineers, analysts, and data scientists around the enterprise data and analytics strategy at Lightedge. They will partner closely with executives and business leaders across Lightedge to embed data-driven decision-making throughout the organization. If you are a motivated Data & Analytics guru who is passionate about delivering high-quality solutions and enjoys working in a collaborative team environment, we encourage you to apply for this exciting opportunity to join our team.
Responsibilities
- Define and execute the company-wide data and analytics strategy, aligned with business goals.
- Lead, mentor and grow a team of data engineers, analysts, and data scientists
- Own Snowflake as the technical platform and coordinate with our internal team as well as several affiliated contractors
- Partner with executives and stakeholders to translate business needs into actionable data insights.
- Implement robust data governance, compliance, and security practices.
- Oversee the design and management of scalable data platforms, pipelines, and orchestration tools.
- Champion data literacy, self-service analytics (Tableau, Power Bi, Looker) and organization-wide AI/ML adoption.
- Drive initiatives in data ingestion, log correlation, queueing techniques, and integration with iPaaS/data syncing platforms.
- Foster a culture of innovation, continuous improvement, and ethical use of data.
- Other duties as assigned
Requirements
- 10+ years of experience in data/analytics leadership roles, including build and scaling teams.
- Strong understanding of data structures, pipelines, orchestration and ingestion techniques.
- Experience with ETL/ELT processes, dbt, and data integration/iPaaS solutions
- Familiarity with BI and visualization platforms (Tableau, Power BI, Looker, etc.).
- Deep expertise in Snowflake, SQL, and modern data warehousing.
- Strong business acumen and proven ability to communicate insights and influence C-level decision-making.
- Knowledge of AI/ML frameworks, use cases, and deployment strategies.
- Experience with ETL/ELT processes, building data pipelines, and familiarity with tools like dbt.
- Proven track record of building and scaling high-performing data teams.
- Strong business acumen and communication skills.
What you need to know about the Chicago Tech Scene
With vibrant neighborhoods, great food and more affordable housing than either coast, Chicago might be the most liveable major tech hub. It is the birthplace of modern commodities and futures trading, a national hub for logistics and commerce, and home to the American Medical Association and the American Bar Association. This diverse blend of industry influences has helped Chicago emerge as a major player in verticals like fintech, biotechnology, legal tech, e-commerce and logistics technology. It’s also a major hiring center for tech companies on both coasts.
Key Facts About Chicago Tech
- Number of Tech Workers: 245,800; 5.2% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: McDonald’s, John Deere, Boeing, Morningstar
- Key Industries: Artificial intelligence, biotechnology, fintech, software, logistics technology
- Funding Landscape: $2.5 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Pritzker Group Venture Capital, Arch Venture Partners, MATH Venture Partners, Jump Capital, Hyde Park Venture Partners
- Research Centers and Universities: Northwestern University, University of Chicago, University of Illinois Urbana-Champaign, Illinois Institute of Technology, Argonne National Laboratory, Fermi National Accelerator Laboratory
