Senior Data and Analytics Manager (2312433)

• Lead the architecture, development, and optimization of our enterprise data warehouse and analytics platforms.

• Drive data strategy, enabling data-driven decision making, and delivering actionable insights across the organization.

• Lead and manage a team of data engineers, analysts, and BI developers.

• Define and implement the enterprise data and analytics strategy aligned with business goals.

• Collaborate and influence Users, Engineers, and Product partners to ensure our data infrastructure meets constantly evolving requirements.

• Oversee the architecture, development, and maintenance of the Enterprise Data Warehouse (EDW). Manage ETL/ELT processes, data pipelines, and data quality frameworks.

• Lead cloud data migration strategies and modern data architecture efforts (e.g., Data Lakehouse, Snowflake, Redshift, etc.).

• Provide expert knowledge of scaled agile development practices and associated disciplines such as Safe, CI/CD, Git, Kanban.

• Develop and oversee scalable data models and dashboards that provide critical business insights.

• Collaborate with business stakeholders to understand analytics requirements and translate them into technical solutions.

• Drive the development of self-service BI tools and analytics platforms (e.g., Power BI, Tableau, Looker).

• Develop self-serve reporting solutions and interactive querying solutions for business units that do not impact production systems.

• Manage team progression, maturity, Agile delivery, and DevOps/CI-CD processes.

• Ensure compliance with data governance policies and regulatory requirements (e.g., GDPR, HIPAA).

• Define and enforce data standards, data definitions, and metadata management practices.

• Collaborate with InfoSec and Compliance teams to ensure secure and ethical use of data.

• Manage budgets, vendor contracts, and project timelines related to data and analytics.

• Evaluate and implement third-party tools and platforms as needed.

• Requires up to 5-10% domestic travel.

Bachelor’s degree in electronic engineering, communications engineering, computer science, information systems, or closely related field, plus 5 years of experience in a data engineering role in the energy or software and infrastructure industries, providing data analytics solutions, and demonstrated experience with:

• Cloud technologies such as AWS, Google Cloud Platform, or Azure

• Real-time & batch data processing, data pipelines, transformation, and modeling using traditional and distributed systems

• Developing and architecting data ingestion models, ETL jobs, and alerting to maintain high availability and data integrity

• Orchestrating, leading, and influencing virtual teams, to ensure the successful implementation of customer projects.

• Presenting data solutions to both large and small audiences.

• Data modeling, analytics, data mining, and machine learning.

• Scaled agile development practices and associated disciplines such as SAFe, CI/CD, Git, or Kanban.

• Data and analytics for the electric and gas utility industry.

Please copy and paste your resume in the email body (do not send attachments, we cannot open them) and email it to candidates at placementservicesusa.com with reference #2312433 in the subject line.

Thank you.