S&C Global Network - AI - Song - MMM-Manager

About The Role



Management Level: IndFunc AI Decision Science Manager


Location: Gurgaon, Bangalore
Must-Have Skills:
Market Mix Modeling (MMM) Techniques, Optimization Algorithms for budget allocation and promotional channel optimization, Statistical and Probabilistic Methods:SVM, Decision Trees, Programming Languages Tools:Python, NumPy, Pandas, Sklearn, AI/ML Models Development and Data Pipeline Management, Data Management within Snowflake (data layers, migration), Cloud Platforms experience (Azure, AWS, GCP).
Good-to-Have Skills:
Experience with Nonlinear Optimization Techniques, Experience in Data Migration (cloud to Snowflake), Proficiency in SQL and cloud-based technologies, Understanding of Econometrics/Statistical Modeling (Regression, Time Series, Multivariate Analysis).



Job



Summary

We are seeking a skilled Ind Func AI Decision Science Manager to join the Accenture Strategy Consulting team in the Global Network

Data AI practice. This role will focus on Market Mix Modeling (MMM), where you will be responsible for developing AI/ML models, optimizing promotional channels, managing data pipelines, and working on scaling marketing mix models across cloud platforms. This role offers an exciting opportunity to collaborate with leading financial clients and leverage cutting-edge technology to drive business impact and innovation.



Roles Responsibilities



Engagement Execution
Lead MMM engagements that involve optimizing promotional strategies, budget allocation, and marketing analytics solutions.
Apply advanced statistical techniques and machine learning models to improve marketing effectiveness.
Collaborate with clients to develop tailored market mix models, delivering data-driven insights to optimize their marketing budgets and strategies.
Develop Proof of Concepts (PoC) for clients, including scoping, staffing, and execution phases.



Practice Enablement
Mentor and guide analysts, consultants, and managers to build their expertise in Market Mix Modeling and analytics.
Contribute to the growth of the Analytics practice through knowledge sharing, staffing initiatives, and the development of new methodologies.
Promote thought leadership in Marketing Analytics by publishing research and presenting at industry events.



Opportunity Development
Identify business development opportunities in marketing analytics and develop compelling business cases for potential clients.
Work closely with deal teams to provide subject matter expertise in MMM, ensuring the development of high-quality client proposals and responses to RFPs.



Client Relationship Development
Build and maintain strong, trusted relationships with internal and external clients.
Serve as a consultant to clients, offering strategic insights to optimize marketing spend and performance.

Qualification


Professional Technical Skills

5+ years of experience in Market Mix Modeling (MMM) and associated optimization techniques.
Strong knowledge of nonlinear optimization, AI/ML models, and advanced statistical techniques for marketing.
Proficiency in programming languages such as Python, NumPy, Pandas, Sklearn, Seaborne, Pycaret, and Matplotlib.
Experience with cloud platforms such as AWS, Azure, or GCP and data migration to Snowflake.
Familiarity with econometrics/statistical modeling techniques (Regression, Hypothesis Testing, Time Series, Multivariate Analysis).
Hands-on experience in managing data pipelines and deploying scalable machine learning architectures.

Additional Information

Masters degree in Statistics, Econometrics, Economics, or related fields from reputed universities.
Ph.D. or M.Tech is a plus.
Excellent communication and interpersonal skills to effectively collaborate with global teams and clients.
Willingness to travel up to 40% of the time.
Work on impactful projects to help clients optimize their marketing strategies through advanced data-driven insights.

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Job
Qualifications

Job
Qualifications



Experience:
5+ years of advanced experience in Market Mix Modeling (MMM) and related optimization techniques for promotional channels and budget allocation
2+ years for Analysts 4+ years for Consultants of experience in consulting/analytics with reputed organizations




Educational Qualification:
Masters degree in Statistics, Econometrics, Economics, or related fields from reputed institutions
Ph.D. or M.Tech in relevant fields is an advantage