M-NAV Measurement & Solution Delivery, Senior Manager

Accenture•New York, NY

19h•$112,900 - $338,300

About The Position

Accenture Song is hiring a Senior Manager to improve the technical product features of Accenture Marketing Investment Navigator (M-Nav) and operationalize, deliver, and deploy the product for clients. M-Nav combines marketing mix modeling (MMM), user-level attribution, sales and brand lift, and experimentation in an AI-native, enterprise-scale platform intended to help marketers make budget decisions. The role works across product development, data science, marketing and media stakeholders, and client teams to ensure models fit established workflows, meet governance requirements, and produce outputs suitable for budget optimization. The position supports the M-Nav vision, including system-level MMM and MTA reconciliation, measurement native to Amazon Marketing Cloud or similar environments, feature engineering, model validation, human-in-the-loop governance, and decision-oriented outputs. The Senior Manager explains measurement methods and technical outputs in clear business terms so clients can understand how they inform executable marketing and media investment decisions. Responsibilities also involve leading analytic engagements and supporting sales teams as a subject-matter expert in client technical discussions.

Requirements

At least 8 years of experience in marketing measurement, econometrics, attribution, data science, or martech analytics.
At least 3 years working with clean rooms such as LiveRamp or Google BQ, ad-platform data, or AMC-like environments.
Strong skills in SQL and Python or R, feature engineering, experimental design, model validation, interpretation of MAPE/R²/F1, taxonomy design, and data quality assurance.
Hands-on experience with statistical modeling techniques such as MMM, attribution, and experimentation; familiarity with MTA, incrementality testing, bridge calibration, and privacy-safe measurement.
Experience leading analytic engagements and translating analytical findings into client value narratives.
Experience supporting sales teams as a subject-matter expert or participating in technical client discussions.
Strong structured problem-solving, stakeholder communication, and ability to translate complex methods into clear business recommendations.
Comfort working in governed, cross-functional delivery models.

Nice To Haves

Hands-on experience with “vibe coding.”
Knowledge of retail media networks such as Amazon Ads and Walmart Connect.
Fluency in SQL coding in Amazon Marketing Cloud clean rooms or similar environments.
Knowledge of advanced modeling methods, including Bayesian regression, Bayesian belief networks, gradient descent, bagged logistic regression, and regularized models.
Knowledge of incrementality logic and MMM/MTA reconciliation.

Responsibilities

Improve the technical product features of M-Nav and operationalize, deliver, and deploy the product for clients.
Partner with product development, data science, marketing and media stakeholders, and client teams to fit models to existing workflows, satisfy governance checks, and generate scenario-ready outputs for budget optimization.
Support system-level MMM and MTA reconciliation, clean-room-native measurement, feature engineering, model validation, human-in-the-loop governance, and decision-oriented outputs.
Explain modeling methodologies and technical concepts in plain business language, connecting results to marketing and media investment decisions.
Lead analytic engagements and translate analytical findings into a value narrative for clients.
Support sales teams as a subject-matter expert and participate in technical discussions with clients.
Use SQL in clean-room environments to structure log-level data, validate schemas, harmonize taxonomies, and engineer features, as applicable.