Data Science Manager – Marketing

This is a fully remote position, open to applicants in India.

📋 Description

• Enhance the effectiveness of Empower's marketing and its measurement capabilities, focusing primarily on Marketing Mix Modeling.

• Take ownership of the complete Marketing Mix Modeling measurement process, from defining business questions and preparing data to reviewing models, validating, refreshing, interpreting, and ensuring stakeholder adoption.

• Collaborate with cross-functional teams, including Marketing, Media, Finance, Data, Technology, and Analytics, to establish model inputs, outcomes, timelines, geographies, and levels of detail.

• Work alongside external MMM vendors and technical modeling teams to assess and challenge model specifications, assumptions, diagnostics, calibrations, sensitivity analyses, and results.

• Convert MMM outputs into actionable marketing investment insights, covering channel contributions, incremental effects, ROI, ROAS, marginal ROI, response curves, diminishing returns, and budget allocation scenarios.

• Clearly communicate model uncertainties, limitations, assumptions, and decision frameworks to business and executive stakeholders.

• Enhance the quality, consistency, and reliability of data utilized for marketing measurement.

• Develop repeatable processes for MMM refreshes, data and model quality assessments, documentation, validation, and version history.

• Oversee external MMM and marketing measurement partnerships, ensuring deliverable quality, resolving challenges, and facilitating knowledge transfer.

• Create reusable data definitions, model-review standards, documentation, and marketing measurement playbooks.

• Determine which MMM activities should remain vendor-supported and which can be transitioned in-house.

• Integrate MMM insights with experimentation, incrementality testing, campaign measurement, attribution, and brand measurement.

• Aid in brand communication measurement by analyzing brand health, brand lift, and advertising effectiveness studies.

• Establish internal MMM standards, knowledge, and processes while contributing to the long-term marketing measurement roadmap.

⛳️ Requirements

• 8–12 years of relevant experience in marketing analytics, marketing science, econometrics, advanced analytics, or a similar field.

• 5+ years of practical experience with Marketing Mix Modeling (MMM), covering model development, validation, refreshes, interpretation, or operationalization.

• Bachelor’s or Master’s degree in Statistics, Data Science, or another quantitative discipline.

• In-depth understanding of Marketing Mix Modeling concepts and methodologies, such as adstock/carryover, lagged effects, saturation, diminishing returns, seasonality, trends, control variables, multicollinearity, model calibration, and uncertainty.

• Proven experience in interpreting MMM outputs, including channel contributions, incremental impacts, response curves, ROI, ROAS, marginal ROI, and marketing budget allocation scenarios.

• Competence in assessing model specifications, assumptions, transformations, diagnostics, sensitivity analyses, calibration methods, and business reasonableness.

• Familiarity with marketing and media data from both digital and traditional channels.

• Proficient in SQL and Python.

• Experience in independently managing complex marketing measurement projects involving external vendors and cross-functional stakeholders.

• Strong understanding of marketing and media principles across digital and traditional channels.

• Excellent analytical judgment and the capacity to translate statistical and model outcomes into commercially significant decisions.

• Strong skills in stakeholder management, vendor management, prioritization, and execution.

• Exceptional written and verbal communication skills, including the ability to craft executive-ready narratives.

• Experience in establishing a Marketing Mix Modeling, marketing science, or marketing measurement capability from the ground up.

• Familiarity with experimentation and incrementality methodologies, including geo experiments, geo tests, matched-market studies, and lift studies.

• Experience with brand communication measurement, brand health tracking, brand lift studies, or advertising effectiveness research.

• Background in financial services, retirement, or wealth management.

🏝️ Benefits

• Flexible work environment.

• Fluid career paths.

• Internal mobility opportunities.

• Support for purpose, well-being, and work-life balance.

• Welcoming and inclusive atmosphere.

• Volunteering opportunities for causes that matter to associates.

• Equal opportunity employment.