Sr Manager, Data Platform Engineering

Sr Manager, Data Platform Engineering- Hybrid Atlanta GA.

Robert Half is in for a Sr Manager, Data Platform Engineering - Data & Analytics who will lead a team of talented data and software engineers, responsible for the engineering, implementation, operations, and maintenance of the the company's Data Platform. This Leader plays a pivotal role in shaping core components of our data strategy, ensuring the robustness, configurability, automation, scalability, and cost effectiveness of our data systems which enable data-driven decision-making at scale across the organization.

The company's Data & Analytics team is focused on transforming how the business works by enabling more informed decisions faster across all our businesses and capabilities.

What You Will Do

• Leadership and Principle based management: Provide leadership and guidance in our Principle based management culture. Lead, mentor, and develop a team of software data engineers. Foster a culture of collaboration, innovation, and continuous improvement.
• Strategic Thinking: Develop and execute the data engineering platform strategy in alignment with data and analytics strategic goals. Design and implement scalable data pipelines, data warehousing solutions, and data frameworks.
• Risk Management and FinOps: Identify potential operational and financial risks. Oversee stability and reliability of the data platform. Use Economic Thinking to refine our FinOps point-of-view and reporting metrics to ensure constant analysis and response to cost drivers and efficiency.
• Project Management: Oversee multiple data engineering projects, ensuring timely delivery and adherence to quality standards. Collaborate with cross-functional teams to gather requirements and deliver data solutions.
• Software Engineering: Our teams quickly deploy code changes in a streamlined DevSecOps environment. Oversee and ensure best practices, coding standards, and quality processes.
• Data Governance and Quality: Partner in establishing and enforcing data governance policies and best practices. Ensure data accuracy, integrity, and security.
• Technology and Innovation: Stay abreast of emerging technologies and industry trends. Implement innovative solutions to enhance data processing capabilities and performance.
• Stakeholder Engagement: Excellent communication skills, with ability to work closely with business and technology partners, portfolio and demand management, data architecture, and across data and analytics teams to understand their data needs. Communicate complex technical concepts to non-technical stakeholders.
• Communication: Understand and represent the data and analytics strategy in meetings. Socialize key concepts enabling broader understanding and adoption of data platform technology.

Who You Are (Basic Qualifications)

• Experience in data and analytics roles with a proven track record leading in delivering large-scale data products and BI solutions OR experience in leadership role managing large, multi-disciplinary technology teams (engineers, developers, etc.).
• Experience in overseeing data warehousing, data engineering, and BI development projects, from conception to delivery is preferred.
• Strong understanding of data architecture, data governance, and data management best practices is preferred.
• Experience working in Agile environments and delivering projects using Agile methodologies is preferred.
• Excellent leadership, team management, and mentorship skills is required.
• Strong project management skills, with a focus on delivering complex projects on time and within budget.

What Will Put You Ahead

• Strong knowledge of agile methodologies and frameworks to effectively plan and implement new capabilities.
• Advanced data analytics skills including statistical analysis, predictive, and machine learning.
• Experience with highly scalable data processing and consumption
• Knowledge of modern data practices and concepts including data products, machine learning and data science.
• Knowledge of data consumption including data visualization tools and techniques.
• Certifications in cloud technologies or data engineering.