Director of Data & Analytics bei Lightedge

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.

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