Measurement Solutions Architect, Manager

Accenture

Confirmed live yesterday High trust

Hybrid

Quick summary

Work type: Hybrid
Location: New York, NY
Salary: $94,400–$293,800 / yr
Employment: Full-time
Posted: 6 days ago
Freshness: Confirmed live yesterday
Nearby: 99+ roles within 25 mi

Market check

Salary context

Competitive pay

How this pay compares to similar roles

Similar $189k

This role $194k

$70k $318k

below market most similar roles pay here above market

This role pays more than 58% of similar roles. Most pay $160,000–$218,500 — the blue band above. At the midpoint, this role pays about $194k versus about $189k for comparable roles.

Based on 240 similar postings.

Employer

About Accenture

Accenture is a leading global professional services company specializing in IT, strategy, consulting, and operations, with a strong focus on digital transformation, cloud computing, and artificial intelligence.

Accenture currently has 231 open roles on FindRole.

Listed pay typically runs $94,400–$266,300 across 166 roles with salary data.

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At a glance

TL;DR · Measurement Solutions Architect, Manager

Role Posting Log in to save

The M-NAV Measurement Solutions Architect, Manager joins the Accenture Song team to improve technical product features and operationalize the Marketing Investment Navigator platform for clients. This role involves building system-level MMM and MTA reconciliation, performing feature engineering, and conducting model validation to provide decision-oriented outputs for budget optimization. You will work with product development and data science teams to ensure models pass governance checks and fit existing workflows. Key technical requirements include proficiency in SQL, Python, or R, and experience with Bayesian Regression, Gradient Descent, and bagged logistic regression. You must be able to explain complex statistical concepts in plain business language. The work focuses on unifying marketing mix modeling, user-level attribution, and experiments within an AI-native platform to move marketers from hindsight to foresight.

Skills

SQL Python R Bayesian Regression Gradient Descent Logistic Regression MMM MTA Amazon Marketing Cloud Feature Engineering Model Validation Data Science Clean Rooms LiveRamp Experimental Design Incrementality Testing

What you'll do

Improve technical product features for the Accenture Marketing Investment Navigator (M-Nav) platform.
Operationalize, deliver, and deploy the M-Nav product for diverse client environments.
Build and validate advanced statistical models including Bayesian Regression, MMM, and attribution logic.
Perform feature engineering and data QA using SQL within Amazon Marketing Cloud or similar clean rooms.
Translate complex technical modeling outputs into plain business language for client marketing decisions.
Provide subject matter expertise to support sales teams during technical client discussions.
Generate scenario-ready outputs for budget optimization and marketing investment decisions.

What we're looking for

5+ years of experience in marketing measurement, econometrics, attribution, data science, or martech analytics.
3+ years of experience working with clean rooms, ad-platform data, or AMC-like environments.
Proficiency in SQL, Python, or R for feature engineering, model validation, and data QA.
Experience with statistical modeling including MMM, attribution, experimentation, MTA, and incrementality testing.
Ability to translate complex analytical findings into clear business recommendations and value narratives for clients.
Experience supporting sales teams as a subject matter expert or in technical client discussions.
Knowledge of retail media networks such as Amazon Ads and WalMart Connect (preferred).
Hands-on experience with "vibe coding" (preferred).

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