Full Job Description
We are looking for a hybrid Measurement Solutions Architect to improve the technical product features of Accenture Marketing Investment Navigator (M-Nav) AND operationalize, deliver and deploy the product for clients. Since M-Nav unifies measurement across MMM, user-level attribution, and experiments, the ideal candidate will have knowledge of advanced modeling methodologies such as Bayesian Regression, Bayesian Belief Networks, Gradient Descent, bagged logistic regression, regularized models as well as concepts around incrementality logic and MMM/MTA reconciliation.
The role partners with product development, data science, marketing/media stakeholders, and client teams to ensure models fit existing workflows, pass governance checks, and generate scenario-ready outputs for budget optimization. The role will deliver on the M-Nav vision: system-level MMM+MTA reconciliation, Amazon Marketing Cloud (or similar)-native measurement, feature engineering, model validation, human-in-the-loop governance, and decision-oriented outputs and not just math and modeling.
In addition, the role requires the ability to explain in plain business language the methodology and concepts used in building models so that clients can see the value of the technical outputs from M-Nav and how those outputs translate into ready-to-execute marketing and media investment decisions. The ideal candidate is fluent in explaining concepts related to statistical validation of data, building Bayesian models, feature engineering, optimization and simulation of budget scenarios.
Knowledge of retail media networks (such as Amazon Ads and WalMart Connect) is a plus, as is fluency in coding in SQL in the AMC clean rooms to structure log-level data, validate schemas, harmonize taxonomy, engineer features, etc.
Qualifications:
• 5+ years in marketing measurement, econometrics, attribution, data science, or martech analytics; 3+ years working with clean rooms (such as LiveRamp, Google BQ), ad-platform data, or AMC-like environments. Experience should include:
• Strong hard skills in SQL, Python or R, feature engineering, experimental design, model validation, MAPE/R²/F1 interpretation, taxonomy design, and data QA. Hands-on experience with "vibe coding" preferred.
• Hands-on experience with statistical modeling techniques such as MMM, attribution, experimentation and familiarity with MTA, incrementality testing, bridge calibration, and privacy-safe measurement.
• Experience leading analytic enagements and ability to translate analytical findings into value narrative for client.
• Experience supporting sales teams in the role of a SME or in technical discussions with client is a must.
• Strong soft skills: structured problem solving, ability to translate complex methods into clear business recommendations, stakeholder communication, and comfort working in governed, cross-functional delivery models.
Compensation at Accenture varies depending on a wide array of factors, which may include but are not limited to the specific office location, role, skill set, and level of experience. As required by local law, Accenture provides a reasonable range of compensation for roles that may be hired as set forth below.
We anticipate this job posting will be posted until 11/30/2026.
Accenture offers a market competitive suite of benefits including medical, dental, vision, life, and long-term disability coverage, a 401(k) plan, bonus opportunities, paid holidays, and paid time off. See more information on our benefits here:
U.S. Employee Benefits | Accenture
Role Location Annual Salary Range
California $94,400 to $293,800
Colorado $94,400 to $253,800
Connecticut $94,400 to $253,800
District of Columbia $100,500 to $270,300
Illinois $87,400 to $253,800
Maine $80,400 to $216,200
Maryland $94,400 to $253,800
Massachusetts $94,400 to $270,300
Minnesota $94,400 to $253,800
New York $87,400 to $293,800
New Jersey $100,500 to $293,800
Ohio $87,400 to $235,000
Virginia $87,400 to $270,300
Washington $100,500 to $270,300
