Job DescriptionThe Senior Manager, Analytics Engineering leads a centralized analytics engineering function responsible for delivering scalable, business-ready data solutions across multiple commercial domains.
This role operates within a hybrid model - leveraging enterprise data infrastructure while enabling rapid, business-driven development within Microsoft Fabric. As a hands-on leader, this role is accountable for:
- Owning analytics data architecture and standards
- Managing delivery across a shared service model
- Leading a distributed team of Analytics Engineers
- Personally contributing to complex data and analytics solutions
The role is critical in enabling Insights Managers to move quickly from concept to reliable, production-ready analytics.
This role is ideally located in Charlotte, NC however we are open to remote candidates as well.
Key Responsibilities:
Data Architecture & Technical Ownership- Own the design and evolution of data pipelines, transformations, and data models
- Define standards for scalable and reusable datasets
- Ensure business logic is consistently structured and reusable across reporting and analytics
- Establish a clear and maintainable "last-mile" data layer for business consumption
Delivery Ownership & Backlog Management- Own and manage a centralized analytics engineering backlog across multiple domains
- Make prioritization and tradeoff decisions across competing business needs, balancing speed, scalability, and impact
- Establish clear intake, prioritization, and delivery processes
- Ensure consistent, high-quality, and timely execution
Shared Service Model Leadership- Operate a global shared analytics engineering function supporting multiple business domains simultaneously
- Allocate resources effectively across competing priorities
- Act as the primary escalation point for prioritization and delivery tradeoffs
- Balance speed, scalability, and data governance in all decisions
Rapid Development & Productionization- Oversee the conversion of Proof of Concepts into scalable, production-ready data solutions
- Enable fast iteration while progressively improving structure, performance, and reusability
- Standardize and scale business logic across datasets and reporting assets
Hands-On Technical Leadership (Player-Coach)- Personally contribute to complex data transformations, pipelines, and models
- Support debugging, optimization, and resolution of critical technical challenges
- Step in to accelerate delivery for high-priority or high-complexity work
Team Leadership- Lead and develop a team of Analytics Engineers operating in a distributed delivery model
- Set priorities, manage capacity, and drive accountability for delivery outcomes
- Coach team members on technical execution, data design, and delivery best practices
- Build a disciplined, high-performing execution engine
Cross-Functional Partnership- Partner with IT to align with enterprise data architecture, standards, and governance
- Operate within enterprise guardrails while maintaining flexibility and speed
- Collaborate with Insights Managers to translate business needs into scalable data solutions
- Determine when solutions should remain business-owned vs. transition to IT for enterprise scale
Data Quality, Governance & DataOps- Ensure accuracy, consistency, and reliability of all data assets
- Establish validation, monitoring, and quality assurance processes
- Implement DataOps best practices including version control, structured deployment, and reusable design
- Maintain clear documentation across data pipelines, datasets, and processes
Required Experience and Skills:
- Bachelor's degree in computer science, engineering, business, finance, or related field
- 8-12+ years of experience in analytics engineering, data engineering, or business intelligence
- Proven experience leading teams in a global or distributed delivery model
- Deep expertise in SQL, ETL/ELT design, and data modeling
- Strong hands-on experience with Microsoft Fabric (Lakehouse, notebooks, pipelines, semantic models) or similar modern data platforms
- Demonstrated ability to work with ambiguous, incomplete, or evolving data and business requirements
- Proven ability to manage multiple stakeholders, priorities, and competing deadlines
- Strong communication skills, with the ability to translate technical concepts into business context
- Experience supporting commercial, sales, or operational analytics
- Experience working in hybrid IT + business-owned data environments
What Success Looks Like- High-quality, scalable data solutions delivered consistently across multiple domains
- Strong prioritization and effective backlog management
- Rapid delivery of business value without sacrificing long-term scalability
- Clear, maintainable, and reusable data architecture
- Effective partnership with IT without creating bottlenecks
- Insights teams enabled with reliable, business-ready datasets
What This Role Is / Is NotThis role is:- A hands-on technical leadership role
- Accountable for both delivery execution and data architecture
- Responsible for prioritization, tradeoffs, and outcomes
This role is not:- A purely managerial or coordination role
- A centralized IT data engineering role
- Limited to oversight without direct technical contribution
Pay Transparency:
Base Salary Compensation: $93,100 - 160,655The range disclosed complies with applicable state and local pay transparency laws. Offers within this range will be determined by considering relevant factors including education, experience, and internal alignment. This position may also be eligible for annual performance bonuses and other incentive programs. Sealed Air offers a competitive benefits package that includes health, dental, vision, 401(k), paid time off, and other benefits designed to promote well-being.Requisition id: 54959
Relocation: No
*Please be cautious of fraudulent recruiting efforts using the Sealed Air name or logo. Sealed Air will never request private information during the application process, such as a Driver's License or Social Security Number. If you have any concerns about information received from SEE during the application process, please reach out to us directly at [redacted].
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