dentsu logo
Senior Manager, Data Engineering
full-timeNew York$66k - $110k

Summary

Location

New York

Salary

$66k - $110k

Type

full-time

Explore Jobs

About this role

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.

Location:

New York

Brand:

Carat

Time Type:

Full time

Contract Type:

Permanent

Dentsu is committed to providing equal employment opportunities to all applicants and employees. We do this without regard to race, color, national origin, sex , sexual orientation, gender identity, age, pregnancy, childbirth or related medical conditions, ancestry, physical or mental disability, marital status, political affiliation, religious practices and observances, citizenship status, genetic information, veteran status, or any other basis protected under applicable federal, state, or local law. 

 

Dentsu is committed to providing reasonable accommodation to, among others, individuals with disabilities and disabled veterans. If you need an accommodation because of a disability to search and apply for a career opportunity with us, please send an e-mail to [email protected] by clicking on the link to let us  know the nature of your accommodation request and your contact information. We are here to support you.  

Other facts

Tech stack
Data Engineering,Analytics,Business Intelligence,Data Architecture,Data Modeling,ETL,ELT,Automation,Performance Optimization,Data Quality,Technical Leadership,Cross-Functional Collaboration,Communication,Problem Solving,Continuous Learning,Stakeholder Management

About dentsu

Merkle, a dentsu company, powers the experience economy. For more than 35 years, the company has put people at the heart of its approach to digital business transformation. As the only integrated experience consultancy in the world with a heritage in data science and business performance, Merkle delivers holistic, end-to-end experiences that drive growth, engagement, and loyalty. Merkle’s expertise has earned recognition as a “Leader” by top industry analyst firms, in categories such as digital transformation and commerce, experience design, engineering and technology integration, digital marketing, data science, CRM and loyalty, and customer data management. With more than 16,000 employees, Merkle operates in 30+ countries throughout the Americas, EMEA, and APAC.

Team size: 10,001+ employees
LinkedIn: Visit
Industry: Business Consulting and Services

What you'll do

  • The Senior Manager, Data & Tech is responsible for owning complex reporting platforms and data engineering initiatives, partnering with various stakeholders to design scalable solutions. This role also involves leading planning and prioritization across multiple initiatives while ensuring data quality and operational reliability.

Ready to join dentsu?

Take the next step in your career journey

Frequently Asked Questions

What does dentsu pay for a Senior Manager, Data Engineering?

dentsu offers a competitive compensation package for the Senior Manager, Data Engineering role. The salary range is USD 66k - 110k per year. Apply through Clera to learn more about the full compensation details.

What does a Senior Manager, Data Engineering do at dentsu?

As a Senior Manager, Data Engineering at dentsu, you will: the Senior Manager, Data & Tech is responsible for owning complex reporting platforms and data engineering initiatives, partnering with various stakeholders to design scalable solutions. This role also involves leading planning and prioritization across multiple initiatives while ensuring data quality and operational reliability..

Why join dentsu as a Senior Manager, Data Engineering?

dentsu is a leading Business Consulting and Services company. The Senior Manager, Data Engineering role offers competitive compensation.

Is the Senior Manager, Data Engineering position at dentsu remote?

The Senior Manager, Data Engineering position at dentsu is based in New York, United States. Contact the company through Clera for specific work arrangement details.

How do I apply for the Senior Manager, Data Engineering position at dentsu?

You can apply for the Senior Manager, Data Engineering position at dentsu directly through Clera. Click the "Apply Now" button above to start your application. Clera's AI-powered platform will help match your profile with this opportunity and guide you through the application process. You can also learn more about dentsu on their website.