Strategic Leadership & Vision

• Define and execute the department strategy for data quality, insights development, and analytical tooling.
• Develop a long-term roadmap for scalable insights delivery, data governance maturity, and automation of quality controls.
• Partner with executive stakeholders to prioritize business-critical analytics initiatives and align data efforts with organizational strategy.

Data Quality Management

• Lead efforts to identify data integrity gaps, root-cause systemic issues, and drive cross-functional remediation.
• Implement automated quality monitoring, anomaly detection, and data validation frameworks.
• Ensure compliance with data governance, security, and regulatory requirements.

Insights & Analytics Development

• Oversee the development of analytics products including dashboards, scorecards, exploratory analyses, and ad hoc insights packages.
• Guide the team in designing scalable and maintainable data models and analytical pipelines.
• Ensure insights are consistently accurate, timely, actionable, and aligned with business needs.
• Promote analytical best practices, data storytelling capabilities, and adoption of advanced analytical techniques (e.g., predictive modeling, trend analysis).

Team Leadership & Coaching

• Lead, mentor, and grow a multidisciplinary team of developers, data analysts, and engineers.
• Foster a culture of curiosity, technical excellence, and high performance.
• Create clear career development paths and support continuous learning in analytical tools and data technologies.
• Drive execution accountability, project prioritization, and workload management.

Cross-Functional Collaboration

• Serve as a senior liaison between technology, product, operations, finance, and executive leadership.
• Translate complex business questions into analytical frameworks and data initiatives.
• Ensure stakeholders have the right insights, visualizations, and metrics to drive decision-making.
• Partner with engineering and architecture teams to enhance data platforms, pipelines, and governance capabilities.

Education

Bachelor's degree (B. A./B. S.) from four-year college or university; or equivalent training, education and experience

Experience

9+ years of Management experience

12+ years of Engineering and/or network operations experience

5+ years Project management experience

Related Work Experience

• Experience building a variety of complex dashboards and reports across a variety of platforms
• Experience maintaining data integration pipelines and cloud data storage technologies
• Experience with customer or network support in a Service Provider environment
• Experience with telecommunication and cable technologies
• Data analytics, data engineering, BI development, or related fields, with experience in a leadership role.
• Proven experience managing large datasets, complex data ecosystems, and multi-domain data quality challenges.
• Strong expertise in SQL, data modeling, and dashboarding tools.
• Demonstrated ability to translate ambiguous business needs into structured analytical solutions.
• Exceptional communication, stakeholder management, and data storytelling skills.
• Experience leading high-performing technical teams.

PREFERRED QUALIFICATIONS

Skills/Abilities and Knowledge

• Master's degree in Data Science, Analytics, Information Systems, or related field.
• Experience with cloud data platforms (e.g., Snowflake, AWS, Azure, GCP).
• Knowledge of data governance frameworks (e.g., DAMA, Data Mesh principles).
• Exposure to machine learning or advanced analytics techniques.
• Experience in organizations with multiple complex technology domains or large enterprise scale.

WORKING CONDITIONS

Office environment

Varying schedules in a 24 x 7 Network environment

Exposure to moderate noise levels

Travel Required

4 days in office, one day work from home.

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EGN800 2025-66704 2025

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