VP, Data Experience

The purpose of this role is to set the strategic direction for the team, taking ownership of the overall vision and outcomes, liaising with other channels to ensure an integrated approach/roadmap.

Job Description:

You will own data solutions and dashboarding end to end — the data engineering underneath them, the load-and-transform (LT) pipelines that feed them, and the Databricks lakehouse they run on — delivered through Dentsu Connect using our proprietary technologies, including Data Refinery and Taxonomy Monitor & Manager. This is media-fluent, client-facing leadership: you know how media works, how channel data connects, and how to make it trusted. Product-minded, automation-forward, and AI-obsessive is the operating posture — you ship data products, not one-off reports.

Key Responsibilities

Own the end-to-end data experience — data solutions, dashboarding, and the data engineering behind them — as the single-threaded data leader on a dedicated client team

Design and run load-and-transform (LT) pipelines on Databricks that land media data into a normalized, analysis-ready structure — retiring manual pulls and one-off feeds as you go

Lead the dashboard build — scope, engineer, and ship Power BI dashboards on governed data products using DEx templates, engineered for reuse rather than one-off reporting

Deliver through Dentsu Connect — putting dentsu's proprietary technologies to work, including Data Refinery for standardized data ingestion and Taxonomy Monitor & Manager for naming governance

Own cross-channel data connection — design the crosswalks that de-dupe and join media data across platforms, reconciling ad server delivery with DSP activity into a single trusted view

Manage site-served and digital direct partner data — establish ingestion, mapping, and QA for partner-supplied data where standard ad-server tracking doesn't reach

Translate media into data models — partner with planning, investment, and analytics teams so the data foundation supports pacing, performance, and effectiveness use cases

Automate relentlessly — replace recurring manual work with pipelines, orchestration, monitoring, and alerting; treat any repeated manual step as a defect to engineer away

Push AI into the product — apply LLM and agentic capabilities to data QA, taxonomy compliance, insight generation, and the dashboard experience itself

Recruit, develop, and lead the team — onshore and offshore engineers and BI developers; set standards, review the work, and grow the talent

Required Qualifications

10+ years across analytics, data engineering, and media data with progressive leadership responsibility

Deep media fluency — how media is planned, bought, and measured, and how ad server, DSP, search, social, and site-served channel data fit together

Hands-on experience performing crosswalks between media platforms — de-duplicating and connecting data between an ad server and a DSP, and reconciling delivery across sources

Thorough understanding of reach and frequency data — the complexity of attribution windows, and how unique reach is measured and de-duplicated across channels and partners

Thorough understanding of site-served digital direct partners and the realities of working with their data

Strong Databricks and Spark experience — lakehouse architecture, pipeline development, and data modeling for analytics

Enterprise dashboarding experience (Power BI preferred) — semantic models, governed datasets, and template-driven build

Track record building and leading data teams, including client-facing delivery at senior client altitude

A product mindset — roadmaps, iteration, and shipping durable data products rather than deliverables that die in an inbox

Preferred Qualifications

Experience with CPG or FMCG clients or brands

Experience in media agency or advertising technology environments

Experience with data sourcing, standardization and taxonomy governance tooling

Demonstrated AI adoption — LLM-assisted workflows, agentic automation, or AI-powered analytics in real production use

Experience managing offshore engineering teams

Knowledge of media data sources (CM360, SA360, Amazon Ads, Meta, TTD, programmatic exchanges)

The annual base salary range for this position is $136,000-$240,000. Placement within the salary range is based on a variety of factors, including relevant experience, knowledge, skills, and other factors permitted by law. Additionally, this position is eligible for discretionary incentive compensation.

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 more information 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.

#LI-Remote #LI-MS3

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 ApplicantAccommodations@dentsu.com 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.