Lightedge
LightEdge is seeking a highly 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 lead and mentor a team of data engineers, analysts, and data scientists, while partnering closely with executives and business leaders across LightEdge to embed data‑driven decision‑making throughout the organization.
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 building 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
Proven track record of building and scaling high‑performing data teams
Strong communication skills
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
#J-18808-Ljbffr
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 building 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
Proven track record of building and scaling high‑performing data teams
Strong communication skills
We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
#J-18808-Ljbffr