Senior Manager, Data Engineering

Job Description:

SENIOR MANAGER - DATA & TECH

Role Overview

The Senior Manager, Data & Tech is a senior technical leader responsible for owning complex reporting platforms and data engineering initiatives end-to-end. This role partners closely with account, product, and engineering stakeholders to design scalable, reliable solutions and set technical direction across multiple workstreams.

The role is highly hands-on and ownership-driven, requiring strong architectural judgment and the ability to lead through influence rather than formal authority. While the position does not currently center on managing associates, it plays a critical leadership role in shaping platform strategy, execution standards, and cross-team alignment. Scope may evolve over time as organizational needs change.

This position requires comfort operating in ambiguity and balancing near-term delivery with longer-term platform strategy, data quality, and maintainability.

Responsibilities

• Own the technical direction and execution of complex reporting platforms and data pipelines across multiple accounts or workstreams
• Serve as the technical owner for data architecture, transformation logic, and analytics enablement
• Partner with account and client-facing teams to translate evolving business requirements into scalable, durable technical solutions
• Act as a senior technical escalation point, providing guidance on architecture, data modeling, automation patterns, and performance optimization
• Lead planning and prioritization across concurrent initiatives, balancing delivery timelines, technical debt, and data quality standards
• Establish, document, and enforce best practices for data quality, validation, monitoring, and operational reliability
• Evaluate and drive improvements in tooling, processes, and overall platform architecture
• Provide clear technical structure, expectations, and accountability across distributed and cross-functional contributors
• Ensure roles, responsibilities, and ownership are well-defined across projects
• Communicate complex technical concepts clearly to non-technical stakeholders to drive alignment and informed decision-making

Requirements

• 6+ years of experience in analytics, business intelligence, data engineering, or related roles
• Demonstrated experience owning and evolving data pipeline and analytics architectures (ETL/ELT, platforms, semantic layers)
• Hands-on experience with modern data platforms such as Databricks and/or Microsoft Fabric
• Strong technical foundation in data modeling, transformation logic, automation, and performance
• Proven ability to lead technical initiatives through ambiguity, from problem definition through making sound tradeoffs between speed, data quality, and long-term maintainability
• Strong organizational and prioritization skills, with the ability to manage shifting priorities multiple stakeholders, accounts, and concurrent initiatives
• High comfort level coordinating work across remote and cross-functional contributors
• Exceptional attention to data quality, consistency, and reliability
• Track record of continuous self-development and independent learning

Nice to Have

• Advanced Power Query / M experience
• Strong experience with Power BI and semantic model design
• Experience with visual data preparation tools such as Alteryx or Trifacta
• Experience operating in or designing lakehouse-style architectures
• Familiarity with medallion architecture concepts and modern analytics engineering patterns
• Media or advertising technology experience

What we are looking for

This role is a senior, hands-on technical leader who has personally owned complex data and analytics platforms end-to-end. The ideal candidate has operated as the technical decision-maker in ambiguous environments, not just executed predefined work.

Strong candidates typically demonstrate:

• End-to-end ownership of data platforms or reporting ecosystems (architecture, modeling, transformations, delivery, and reliability)
• Hands-on experience designing and evolving data pipelines and analytics layers, not just managing teams that do
• Comfort making architectural and delivery tradeoffs between speed, data quality, and long-term maintainability
• Experience working across multiple stakeholders, accounts, or business teams simultaneously
• Ability to lead through influence, set technical direction, and create clarity without relying on formal authority
• Clear communication of technical concepts to non-technical audiences

Additional Information

The anticipated base salary range for this position is $66,000 - $110,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. 

Benefits available with this position include: 

• Medical, vision, and dental insurance, 

• Life insurance, 

• Short-term and long-term disability insurance, 

• 401k, 

• Flexible paid time off, 

• At least 15 paid holidays per year, 

• Paid sick and safe leave, and 

• Paid parental leave. 

Dentsu also complies with applicable state and local laws regarding employee leave benefits, including, but not limited to providing time off pursuant to the Colorado Healthy Families and Workplaces Act, in accordance with its plans and policies. For further details regarding Dentsu benefits, please visit www.dentsubenefitsplus.com. 

To begin the application process, please click on the “Apply” button at the top of this job posting. Applications will be reviewed on an ongoing basis, and qualified candidates will be contacted for next steps.  #LI-RB1 #LI-Hybrid

At dentsu, we believe great work happens when we’re connected. Our way of working combines flexibility with in-person collaboration to spark ideas and strengthen our teams. Employees who live within a commutable distance of one of our hub offices, currently located in Chicago, metro Detroit, Los Angeles, and New York City, are required and expected to work from the office three days per week (two days per week for employees based in Los Angeles). Dentsu may designate other Hub offices at any time. Those who live outside a commutable range may be designated as remote, depending on the role and business needs. Regardless of your work location, we expect our employees to be flexible to meet the needs of our Company and clients, which may include attendance in an office.

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