Sr Dir, Engineering

The Senior Director of Data Quality & Insights Development is a strategic leader responsible for shaping and driving the Access Engineering and Operations organization's data quality strategy, insights development roadmap, and analytical excellence. This role oversees a high-performing team of developers and analysts who extract, interpret, and operationalize insights from large and complex datasets spanning multiple technology domains.

The ideal candidate combines deep expertise in data management, advanced analytics, and dashboard/report development with strong leadership capabilities and a collaborative mindset. They will act as a bridge between business stakeholders and technology teams, ensuring data is accurate, consistent, accessible, and leveraged to drive confident, insight-driven decisions. They will be responsible for executive communcation and presentations, so should have a strong executive presence and ability to succinctly describe complex scenarios in straightforward language.

• 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.

• 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.

• 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).

• 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.

• 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.