Sr Manager, Data Insights - Data Engineering

Do you excel at working cross-functionally to achieve common goals? Would you describe yourself as collaborative, analytical, strategic, and data-driven? If so, you could find a home on the Operational Analytics & Insight (OAI) team at Spectrum.

Our Operational Analytics & Insight team provides the measurement, insights and recommendations that inform our digital strategies. By helping answer critical questions about the customer experience, sales, and operations, this team plays a vital role in delivering the exceptional services and experiences Spectrum is known for.

As a Senior Data Engineering Manager on our Operational Analytics & Insights team, you'll lead a team of data engineers in designing, building, and maintaining scalable data pipelines and architectures that power real-time insights and decision-making. This role combines deep technical expertise with strategic leadership, requiring you to guide engineering efforts, collaborate with cross-functional partners, and shape the organization's data strategy.

You'll be responsible for ensuring data quality, security, and governance while driving innovation in how data is captured, processed, and used across the business. If you're passionate about building high-impact data systems and leading teams that turn data into action, this role is for you.

How You'll Make An Impact

• Lead and Inspire Teams: Build, mentor, and grow a team of talented data engineers. Foster a collaborative, and innovative culture while championing best practices across data, analytics, operations, and team development.
• Architect Scalable Data Systems: Design and maintain modern data warehouses, databases, and cloud-integrated storage systems. Lead the development of scalable data pipelines optimized for real-time AI applications and efficient ETL/ELT processes.
• Ensure Data Integrity and Compliance: Define and enforce data quality standards. Implement governance policies that align with industry regulations and internal protocols.
• Optimize Performance and Efficiency: Monitor and improve pipeline performance and cost-effectiveness. Identify opportunities for automation, enhanced data quality, and streamlined workflows.
• Collaborate Across Functions: Partner with product managers, analysts, and data scientists to translate business needs into technical solutions. Oversee projects from concept to delivery, ensuring alignment with strategic goals.

This is a strategic and hands-on leadership position where you'll shape the future of our data engineering capabilities. You'll guide high-performing teams, architect scalable systems, and drive innovation that fuels business growth. If you thrive in a fast-paced, collaborative environment and enjoy building impactful data solutions, this role is for you.

What You'll Bring to Spectrum

Required Qualifications

• Experience: Telecommunications industry leadership: 6+ years; Customer facing products and services environment: 5+ years; working within a data platform and data analysis environment: 5+; managing complex projects: 3-5 years; leading teams of data analysts and data scientists
• Education: Bachelor's degree in Computer Science, Engineering, or related field
• Technical skills: Proficiency in Python, SQL, and data processing frameworks like Apache Spark, Hadoop, or MapReduce; Experience with cloud platforms (AWS, Azure) and services such as S3, Glue, Databricks, and DBT; Strong understanding of data modeling, ETL/ELT processes, data warehousing, and data lake architectures (e.g., Snowflake, Fabric, RedShift); Familiarity with streaming data and event-driven architecture design patterns; Knowledge of data governance, security, and compliance standards; Experience with version control and CI/CD tools (e.g., GitHub, GitLab) and project management platforms (e.g., Jira); Exposure to machine learning concepts and data visualization tools (e.g., Tableau, Excel)
• Abilities: Lead, mentor, and retain high-performing engineering team; Collaborate cross-functionally to solve complex business and technical challenges; Translate analytical requirements into actionable engineering solutions; Conduct independent research and analysis to inform strategic decisions; Communicate effectively with senior leadership and technical stakeholders; Maintain confidentiality and handle sensitive data responsibly; Thrive in fast-paced environments with strong prioritization and organizational skills; Demonstrate curiosity and a continuous improvement mindset

Preferred Qualifications

• Education: Relevant Master's degree