Job Description:
Location: Open to remote candidates
We're seeking a Manager, Data Management to own the data foundation powering measurement and reporting on the Hilton account. This is a high-trust, low-oversight role for a technically strong leader who can operate independently, manage multi-source data across channels, create and manage new data integrations, and maintain a high level of data accuracy through adherence to a multi-team QA process.
Responsibilities:
Own data quality, QA processes, and taxonomy governance across all Hilton measurement and reporting workstreams — including defining, recommending, and maintaining QA standards.
Continue the transition of recurring reports into a dashboard-first environment (Power BI), ensuring data integrity and visualization quality meet client-facing standards.
Manage and integrate multi-source, multi-channel data (paid media, owned, and third-party) into clean, reliable, decision-ready datasets.
Partner cross-functionally with measurement, analytics, and account teams to tie data infrastructure to measurement plans and learning agendas.
Serve as the trusted data lead in client interactions — assessing feasibility upfront, setting realistic expectations, and delivering credible recommendations.
Qualifications:
Bachelor's degree in Statistics, Economics, Data Science or related quantitative field
4+ years in data engineering, data management, or analytics engineering, with a track record in high-volume, complex environments.
Demonstrated ownership of data QA and taxonomy governance. Able to design, adhere and execute a QA process.
High proficiency in data visualization tools (Excel, Tableau, Power BI).
Multi-source, multi-channel data experience across the media/marketing ecosystem.
Ability to work autonomously with large datasets with limited management oversight.
Strong client-facing skills, including sound judgment on feasibility and the ability to manage expectations with integrity.
Strong interpersonal skills with ability to collaborate and work with internal cross-channel and client teams.
High attention to detail.
Excellent problem solving and critical thinking skills.
Demonstrates strong analytical, project management, storytelling and communication skills.
Experience in supporting MMM data workstreams.
Maintain and troubleshoot connectors for continued and error-free ingestion of data into our dashboard.
Experience in integrating disparate data sources into a single unified source (dashboard).
Strong experience in developing and managing API endpoints, integrating with external and internal systems.
The annual salary range for this position is ($68,000-105,000). 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.
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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Location:
Chicago - N. StateBrand:
IprospectTime Type:
Full timeContract Type:
PermanentDentsu 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.
Skills Required
- Bachelor's degree in Statistics, Economics, Data Science or related quantitative field
- 4-6+ years in data engineering, data management, or analytics engineering in high-volume, complex environments
- Demonstrated ownership of data QA and taxonomy governance; design and execute QA processes
- High proficiency in data visualization tools (Excel, Tableau, Power BI)
- Multi-source, multi-channel data experience across the media/marketing ecosystem
- Ability to work autonomously with large datasets with limited management oversight
- Strong client-facing skills, including feasibility assessment and expectation management
- Strong interpersonal skills to collaborate with cross-channel internal and client teams
- High attention to detail
- Excellent problem solving and critical thinking skills
- Strong analytical, project management, storytelling and communication skills
- Experience supporting MMM (Marketing Mix Modeling) data workstreams
- Maintain and troubleshoot connectors for error-free ingestion of data into dashboards
- Experience integrating disparate data sources into a single unified source/dashboard
- Strong experience developing and managing API endpoints and integrations with external/internal systems
dentsu Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about dentsu and has not been reviewed or approved by dentsu.
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Parental & Family Support — Paid parental leave at full pay and caregiver supports (including backup care) are emphasized as standout elements. Feedback suggests family-oriented benefits are a strong part of the package.
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Leave & Time Off Breadth — Flexible or unlimited PTO, extensive paid holidays, and a year-end office closure are established components. Feedback suggests time-off policies are generous and add meaningful flexibility.
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Retirement Support — A large, established 401(k) plan with employer matching is clearly documented. Feedback suggests retirement benefits feel competitive and straightforward.
dentsu Insights
What We Do
We are dentsu. We team together to help brands predict and plan for disruptive future opportunities and create new paths to growth in the sustainable economy. We know people better than anyone else and we use those insights to connect brand, content, commerce and experience, underpinned by modern creativity. We are the network designed for what’s next
