Senior IT Manger, Data Engineering

Sherwin-Williams - Cleveland, OH

Full-time - Senior

Remote - Cleveland, OH

Chemical Manufacturing

About the position

The Senior IT Manager, Data Engineering is a pivotal role within the organization, responsible for overseeing the strategic direction and operational management of data engineering initiatives. This position requires a deep understanding of data engineering practices, solution architecture, and team leadership. The Senior IT Manager will work closely with various stakeholders, including business leadership and technical teams, to ensure that data solutions align with business objectives and deliver value. The role involves reviewing and analyzing existing systems for effectiveness and efficiency, developing strategies for improvement, and facilitating the growth and development of team members. The manager will also be responsible for creating a detailed succession plan to ensure that the team has the necessary skills and depth to meet business needs. In addition to strategic planning, the Senior IT Manager will assist in the acquisition and deployment of key projects, coordinating feasibility studies for software and system products, and providing guidance on the business implications of development projects. The role requires effective communication with internal partners and customers to deliver requirements and ensure that departmental processes support team goals. Operational management responsibilities include applying solution architecture frameworks, maintaining relationships with key consumers of data engineering services, and developing solutions that leverage SaaS platform functionality. The Senior IT Manager will also be tasked with managing staffing, performance, and resource management, setting employee objectives, and providing feedback and mentoring. The position requires a proactive approach to problem-solving and decision-making, as well as the ability to manage multiple priorities in a high-pressure environment. The manager will be expected to foster a culture of inclusion and diversity within the team and contribute to the overall efficiency and effectiveness of the organization.

Responsibilities

• Review and analyze existing solution effectiveness and efficiency and develop strategies for improving or leveraging these systems.
• Benchmark, analyze and make recommendations for improving current and future implementation methods and practices.
• Facilitate and oversee development of internal team goals.
• Support the growth and development of team members and leaders, ensuring a detailed succession plan is in place.
• Push creative thinking beyond the boundaries of existing industry practices and client mindsets.
• Lead and liaison with Enterprise Data and Insights (ED&I) and Digital Technology teams to ensure alignment across portfolios.
• Partner with business leadership regarding risks, objectives, and process improvements.
• Work with management to generate quarterly work plans including estimation of time and resource allocation for proposals to support business initiatives.
• Develop wants/needs for the annual budgeting process in projects, operations, and support.
• Determine staffing and skills requirements.
• Assist the business and applications teams in alignment of key projects.
• Coordinate feasibility studies for software and system products under consideration for purchase, and give advice based on findings.
• Provide guidance concerning business implications of development projects.
• Guide and oversee project and design reviews to evaluate and ensure that the design being applied meets policies, principles, and standards.
• Communicate effectively with internal partners and customers to deliver requirements.
• Guide and oversee the IT organization standards for process management.
• Guide and oversee departmental processes and procedures in support of team goals.
• Apply Solution Architecture frameworks and practices.
• Ensure consistent solution design practices and principles across all implementations.
• Maintain relationships with key consumers of data engineering services and address concerns as they arise.
• Provide guidance on standards and implementation requirements for supported solutions.
• Develop and maintain understanding of key processes, schedules, cycles, profiles, etc. for the technical systems in use by business.
• Develop solutions to leverage SaaS platform functionality and suggest process improvements.
• Provide regular, clear, and consistent communication on the status of projects, issues, and deliverables to representatives from the partner/vendor.
• Manage and oversee staffing, performance and resource management.
• Define and implement strategic direction of the team.
• Set employee objectives, monitor and evaluate performance and provide feedback and mentoring.
• Create and maintain development plans for each team member, including training, skills assessment, goals, and career planning.
• Manage personal growth objectives for the team.
• Manage team organizational structure with team vision, goals, and defined roles and responsibilities.
• Develop management dashboards to ensure tasks are completed timely and effectively.
• Manage, develop and mentor team members toward the building of a strong team.
• Apply resourceful and decisive decision making to achieve goals.

Requirements

• Bachelor's degree in Computer Science, Computer Engineering, or Information Technology or equivalent experience.
• 12+ years of IT experience.
• 8+ years of experience managing a team of direct reports.
• 5+ years of experience with SQL, specifically PostgreSQL, T-SQL, PL/SQL, SNOWSQL.
• 5+ years of experience with designing, building and implementing applications, system integrations, and web services in an international/global environment.
• 3+ years of experience with server-side scripting and programming in a Linux environment (primarily bash shell).
• 3+ years of experience using data warehouse ETL tools (specifically IICS, Fivetran/HVR, Oracle Data Integrator (ODI)).
• Strong knowledge of Data Engineering to ensure effective and optimal solution design, deployment and support of processes.
• Strong understanding of common database technologies including performance, tuning, and optimization.
• Proven ability to champion adoption of best-in-class Data engineering practices.
• Proven ability to drive adoption of agile practices throughout data engineering development teams.
• Strong data manipulation skills and experience with data warehouse ETL tools and processes.
• Deep expertise of design, planning, management, maintenance, and support of Cloud Technologies such as Azure and Snowflake.

Nice-to-haves

• Exposure/experience with developing and integrating with Cloud based applications.
• Strong experience in project management and system architecture methodologies.
• Knowledge of vendor software integration and interaction patterns.
• Knowledge of applicable data privacy practices and laws.
• Exposure/Experience with DevOps practices.

Benefits

• Health insurance coverage
• 401k benefit for retirement savings plan
• Paid holidays
• Flexible scheduling options
• Professional development opportunities
• Employee discount programs