Address performance challenges in partnership with HR to build engagement and accountability Competency Development: Support the development of technical and analytical skills within the team, identifying areas for growth and ensuring continuous learning opportunities Coaching and Mentoring: Provide regular coaching to team members to guide their professional development and improve their expertise in data engineering and analytics methodologies Manage Operations: Oversee daily team operations, ensuring projects are completed on time and aligned with organizational goals and priorities Communication: Ensure effective communication within the team and with other departments, sharing relevant project updates, challenges, and outcomes to maintain alignment Team Branding: Advocate for and communicate the teams achievements to highlight their value in driving business outcomes and position them as trusted business partners and subject matter experts Stakeholder Engagement and Continuous Improvement Drive Continuous Improvement: Foster a culture of innovation by identifying and automating inefficient processes, optimizing workflows, and applying analytics to improve operations Stakeholder Engagement: Act as a liaison between the team, Analytics & Insights, IT, and business stakeholders to align technical efforts with organizational priorities and drive data-driven transformation goals Collaboration: Partner with data scientists, analysts, and business stakeholders to understand data needs and deliver tailored solution Experience & Qualifications Education Bachelors degree in computer science, Data Engineering, IT, or related field Masters Degree or MBA - Preferred Experience 8+ years of data engineering and analytics experience 3+ years managing teams and complex data engineering projects Software/Technical Skills Experience with Modern data platforms (e.g., Azure, AWS, Snowflake) and ETL/ELT tools (e.g., Alteryx, Databricks) Strong understanding of data governance, security, and compliance best practices Experience with designing data models, warehouses, and pipelines to support advanced analytics Experience with visualization tools (Tableau, Power BI) Familiarity with machine learning frameworks and concepts - Preferred Other Skills/Knowledge/Abilities Strong business acumen and ability to align technical efforts with strategic goals Demonstrated ability to manage technical teams, foster collaboration, and deliver results in a dynamic environment Ability to communicate technical content and analytical insights/complex findings in a clear and concise manner to multiple audiences, including senior management Ability to multi-task and manage simultaneous projects Strong analytical and problem-solving skills, with a focus on delivering actionable solutions Excellent communication and interpersonal skills to collaborate with diverse teams and stakeholders effectively Additional Details for This Role This role will be a hybrid role. The Manager, Data Engineering, will be responsible for establishing robust and secure data infrastructure, delivering high quality, accessible and reliable data for analytics and decision-making, and enhancing the performance of the data engineering team all while advancing the organizational maturity of the data engineering team and practices.