Executive Director Data Platform Engineer

Directs and leads the strategic development of the overall data platform and infrastructure and mentors the team of data engineers and cloud data architects. Owns the execution of functional strategies around development processes and expanding technology roadmap, planning features, measuring outputs, and ensuring quality products. Makes decisions using analytical insights from a variety of business contexts and communicates those complex insights effectively with senior leadership.

Qualifications:
Minimum Education

• Bachelor's Degree Bachelor's degree in computer science, data analytics, software engineering, information technology, or related field. (Required)

Minimum Work Experience

• 10+ years of related experience, including prior management experience or equivalent experience acquired through accomplishments of applicable knowledge, duties, scope and skill reflective of the level of this position. (Required)

Required Skills/Knowledge

• Knowledge of Agile software development; Scrum (Software development) Technical Support
• Knowledge of extract, transform, load (ETL); SQL (programming language)
• Knowledge of relational and non-relational databases, cloud-based data processes, and business intelligence.
• Experience in performing and monitoring enterprise level data governance, integrity, quality, managing master data, moving data between databases, providing metadata strategy, and business intelligence/analytics.
• Ability to lead/manage others including other leaders.
• Collaboration and team building skills.
• Effectively coaches and delivers constructive feedback.
• Instills commitment to organizational goals.
• Ability to communicate and make recommendations to upper management.
• Effective conflict management skills.
• Develops and delivers effective presentations.
• Demonstrated negotiation skills.
• Ability to analyze and interpret financial data in order to facilitate on project initiatives and goals.
• Possesses technical aptitude.
• Excellent verbal and written communication skills, communicate complex findings in a clear and understandable manner
• Excellent facilitation ability to host sessions and elicit ideas from others, understanding their issues and encourage group participation
• Attention to detail.
• Communicate complex findings in a clear and understandable manner
• Collaborate effectively with other leaders
• Adapt at leading team in changing priorities and thrives in a dynamic environment

Functional Accountabilities

• Directs a cohesive data engineering team responsible for the design and development of software and processes to support complex, large scale, and efficient data pipelines and optimizes the availability of data to generate insights and address business needs
• Articulates and executes technical business goals and requirements into designs utilizing best practice design patterns and partner with engineering leads, product management, and design leads in shaping and guiding the technical direction of the data engineering team.
• Owns and drives the planning, prioritization and execution of data production projects and processes and the activities of team of experienced data engineers responsible for developing software code that formats, tags, processes, stores and delivers data.
• Builds and establishes the standards and processes required to ensure the delivery of high-quality data products.
• Conducts code reviews and leads complex technical discussions, accountable for the maintenance agile processes and ceremonies for the data team.
• Manages and overseas the automation of key ETL / ELT (extract / transform / load) and quality assurance processes for large volume of data and migrations of data and workloads.
• Establishes and implements data governance, data quality, integrity, standards, master data management, metadata strategy, and business intelligence/analytics.
• Make decisions on key technology choices for data pipelines to ensure that they are scalable, repeatable, secure, and can serve users at scale in the organization.
• Contributes to key metrics of success for the data organization
• Recruit, manage and develop data engineers and cloud data architects and leaders on the Data Engineering team
• Performs other duties as assigned.
• Complies with all policies and standards.

Leader Accountabilities:

Deliver

• Set and achieve departmental goals.
• Align budgets and resources to meet division goals.
• Monitor and support a safe and quality environment.
• Focus the team on service excellence and make the interdepartmental connections needed to ensure high service.

Engage

• Clearly communicate organizational strategies to the department.
• Ensure managers hold the team accountable for high performance.
• Support managers in maintaining a positive working environment.
• Represent the department in clearing obstacles to high performance.
• Look for and develop high-performing talent.
• Support supervisors and managers in engagement efforts.

Grow

• Look across departments for opportunities to make the organization more effective.
• Recognize and share innovation and improvement.
• Represent the department in organization-wide innovation and improvement efforts.
• Monitor and grow the department's capacity for change.