S&C Global Network - AI - Marketing Analytics (MMM) - Manager

📌 Core Information

🔹 Job Title: S&C Global Network - AI - Marketing Analytics (MMM) - Manager

🔹 Company: Accenture

🔹 Location: Gurugram, DDC1A, NonSTPI

🔹 Job Type: FULL_TIME

🔹 Category: Analytics

🔹 Date Posted: April 11, 2025

🔹 Experience Level: 12-14 Years

🔹 Remote Status: On-site

🚀 Job Overview

Key aspects of this role include:

• Driving strategic initiatives and managing business transformations to create value-driven solutions.
• Providing strategic advisory services, conducting market research, and developing data-driven recommendations to enhance business performance.
• Leveraging industry expertise and advanced experience in Market Mix Modeling (MMM) to optimize promotional channels and budget allocation.
• Collaborating with a team of 10-15 people and managing client relationships to deliver high-quality insights and recommendations.
• Working with cutting-edge technologies such as cloud-based platforms, data pipelines, and AI/ML models to drive data-driven decision-making.

ASSUMPTION: This role requires a strong background in MMM and related concepts, as well as experience in managing teams and client relationships. Proficiency in relevant technologies and statistical modeling techniques is also essential.

📋 Key Responsibilities

✅ Drive strategic initiatives and manage business transformations to create value-driven solutions.

✅ Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance.

✅ Leverage industry expertise and advanced experience in Market Mix Modeling (MMM) to optimize promotional channels and budget allocation.

✅ Collaborate with a team of 10-15 people and manage client relationships to deliver high-quality insights and recommendations.

✅ Work with cutting-edge technologies such as cloud-based platforms, data pipelines, and AI/ML models to drive data-driven decision-making.

✅ Manage data migration from cloud to Snowflake (Azure, GCP, AWS) and maintain data models, architecture, and maintenance processes.

✅ Develop and manage data pipelines and data within different layers of Azure/Snowflake.

✅ Aware of common design patterns for scalable machine learning architectures and tools for deploying and maintaining machine learning models in production.

✅ Well versed with creating insights presentations and client-ready decks.

✅ Capable of mentoring and guiding a team of 10-15 people under them.

✅ Manage client relationships and expectations, and communicate insights and recommendations effectively.

✅ Capability building and thought leadership.

✅ Logical Thinking – Able to think analytically, use a systematic and logical approach to analyze data, problems, and situations. Notices discrepancies and inconsistencies in information and materials.

✅ Task Management – Advanced level of task management knowledge and experience. Should be able to plan own tasks, discuss and work on priorities, track and report progress.

ASSUMPTION: This role requires strong analytical, problem-solving, and communication skills, as well as the ability to work in a fast-paced, dynamic environment. Experience in managing teams and client relationships is also essential.

🎯 Required Qualifications

Education: Any Degree

Experience: 12-14 Years

Required Skills:

• Relevant experience in the required domain.
• Strong analytical, problem-solving, and communication skills.
• Ability to work in a fast-paced, dynamic environment.
• Must have knowledge of SQL and Python language and at-least one cloud-based technologies (Azure, AWS, GCP).
• Must have good knowledge of Market mix modeling techniques and optimization algorithms and applicability to industry data.
• Must have data migration experience from cloud to snowflake (Azure, GCP, AWS) Managing sets of XML, JSON, and CSV from disparate sources. Manage documentation of data models, architecture, and maintenance processes.
• Have an understanding of econometric/statistical modeling and analysis techniques such as regression analysis, hypothesis testing, multivariate statistical analysis, time series techniques, optimization techniques, and statistical packages such as R, Python, Java, SQL, Spark etc.
• Working knowledge in Machine Learning algorithms like Random Forest, Gradient Boosting, Neural Network etc.
• Proficient in Excel, MS word, PowerPoint, etc.
• Strong client and team management and planning of large-scale projects with risk assessment.

Preferred Skills:

• Ability to leverage design thinking, business process optimization, and stakeholder management skills.

ASSUMPTION: This role requires a strong background in MMM and related concepts, as well as experience in managing teams and client relationships. Proficiency in relevant technologies and statistical modeling techniques is also essential.

💰 Compensation & Benefits

Salary Range: INR 2,500,000 - 3,500,000 per annum (Estimated based on industry standards for the role, experience level, and location)

Benefits:

• Competitive benefits package including health, dental, and vision insurance.
• Retirement savings plan with company match.
• Generous vacation and time-off policies.
• Employee assistance program for work-life balance.
• Tuition assistance and professional development opportunities.
• Employee discounts and wellness programs.

Working Hours: Full-time (40 hours per week) with flexible work arrangements available.

ASSUMPTION: The salary range provided is an estimate based on industry standards for the role, experience level, and location. Actual compensation may vary based on factors such as skills, experience, and market conditions.

📌 Applicant Insights

🔍 Company Context

Industry: Business Consulting and Services

Company Size: 10,001+ employees (Large enterprise with extensive resources and global presence)

Founded: 1950 (Over 70 years of experience in the industry)

Company Description:

• Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale.
• The company combines its strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability.
• Accenture measures its success by the 360° value it creates for its clients, each other, its shareholders, partners and communities.

Company Specialties:

• Management Consulting
• Systems Integration and Technology
• Business Process Outsourcing
• and Application and Infrastructure Outsourcing

Company Website: www.accenture.com

ASSUMPTION: Accenture is a well-established and reputable company with a strong track record in the industry. Its extensive resources and global presence enable it to deliver high-quality services and solutions to its clients.

📊 Role Analysis

Career Level: Managerial (This role involves managing a team of 10-15 people and requires strong leadership and management skills)

Reporting Structure: This role reports directly to the client and may have dotted-line reporting to the Accenture management team.

Work Arrangement: On-site (This role requires on-site presence at the client's location)

Growth Opportunities:

• Potential to move into senior management roles within Accenture or the client's organization.
• Opportunities to work on high-profile projects and gain exposure to senior leadership.
• Chance to develop expertise in emerging technologies and industry trends.

ASSUMPTION: This role offers significant growth opportunities for the right candidate, including exposure to senior leadership and the chance to develop expertise in emerging technologies and industry trends.

🌍 Location & Work Environment

Office Type: On-site (This role requires on-site presence at the client's location)

Office Location(s): Gurugram, DDC1A, NonSTPI

Geographic Context:

• Gurugram is a major IT hub and one of the largest tech cities in India, with a thriving startup ecosystem and numerous multinational corporations.
• The city offers a mix of urban and suburban living options, with a wide range of amenities, entertainment, and cultural attractions.
• Gurugram is well-connected by road, rail, and air, with easy access to New Delhi and other major cities in the region.

Work Schedule: Full-time (40 hours per week) with flexible work arrangements available.

ASSUMPTION: The on-site work arrangement for this role allows for close collaboration with the client's team and easy access to resources and support. The location in Gurugram offers a dynamic and vibrant work environment with ample opportunities for professional growth and development.

💼 Interview & Application Insights

Typical Process:

• Online application submission through the Accenture careers portal.
• Phone or video screening to assess communication skills and cultural fit.
• In-depth technical assessment to evaluate skills in MMM, statistical modeling, and relevant technologies.
• Behavioral and situational interviews to assess problem-solving, leadership, and management skills.
• Final round interviews with senior leadership to discuss career growth opportunities and make a hiring decision.

Key Assessment Areas:

• Technical proficiency in MMM, statistical modeling, and relevant technologies.
• Problem-solving and analytical skills.
• Leadership and management skills, including team management and client relationship management.
• Cultural fit and alignment with Accenture's values and work environment.

Application Tips:

• Tailor your resume and cover letter to highlight relevant skills and experiences for this role.
• Demonstrate your proficiency in MMM, statistical modeling, and relevant technologies through specific examples and projects.
• Prepare for behavioral and situational interview questions by reflecting on your past experiences and accomplishments.
• Research Accenture's company culture and values to show your understanding and alignment with the organization.

ATS Keywords: Market Mix Modeling, Statistical Modeling, Machine Learning, Python, SQL, Cloud Technologies, Data Migration, Team Management, Client Relationship Management, Problem-Solving, Analytical Skills

ASSUMPTION: The interview process for this role is designed to assess the candidate's technical skills, problem-solving abilities, and cultural fit with Accenture. By following the application tips provided, candidates can increase their chances of success in the interview process.

🛠️️ Tools & Technologies

• Market Mix Modeling (MMM) software and tools
• Statistical modeling software (R, Python, SPSS, SAS, etc.)
• Machine Learning algorithms and libraries (Random Forest, Gradient Boosting, Neural Network, etc.)
• Cloud-based platforms (Azure, AWS, GCP)
• Data migration tools (Talend, Pentaho, etc.)
• Data analysis and visualization tools (Tableau, Power BI, etc.)
• Project management and collaboration tools (Jira, Asana, etc.)

ASSUMPTION: This role requires proficiency in a wide range of tools and technologies, including MMM software, statistical modeling software, machine learning algorithms, cloud-based platforms, data migration tools, and data analysis and visualization tools. Familiarity with project management and collaboration tools is also essential.

👔 Cultural Fit Considerations

Company Values:

• Client Value Creation: Accenture prioritizes delivering tangible value to its clients through innovative solutions and data-driven insights.
• One Accenture: The company fosters a culture of collaboration and teamwork, encouraging employees to support and learn from one another.
• Respect for the Individual: Accenture values the unique perspectives and contributions of each employee, promoting an inclusive and diverse work environment.

Work Style:

• Accenture encourages a fast-paced and dynamic work environment, with a focus on delivering high-quality results under tight deadlines.
• The company values adaptability, resilience, and a growth mindset, with an emphasis on continuous learning and improvement.
• Accenture promotes a culture of open communication, with regular feedback and performance reviews to support employee growth and development.

Self-Assessment Questions:

• How do your personal values align with Accenture's commitment to delivering tangible value to clients?
• Describe a time when you had to adapt to a significant change or challenge in a project. How did you approach the situation, and what was the outcome?
• How do you handle feedback and use it to improve your performance and contribute to the success of your team?

ASSUMPTION: Accenture values candidates who demonstrate a strong alignment with the company's values and work style. By reflecting on these self-assessment questions, candidates can gain insight into their cultural fit with Accenture and prepare for the interview process.

⚠️ Potential Challenges

• Managing client expectations and relationships in a dynamic and fast-paced environment.
• Keeping up with the latest trends and technologies in the field of MMM and statistical modeling.
• Balancing the demands of multiple projects and stakeholders, often with tight deadlines.
• Working in a matrix organization with multiple reporting lines and stakeholders.

ASSUMPTION: This role presents unique challenges that require strong management, communication, and problem-solving skills. Candidates should be prepared to navigate these challenges and thrive in a dynamic and fast-paced work environment.

📈 Similar Roles Comparison

• This role differs from related positions in its focus on managing a team and driving strategic initiatives, rather than individual contributor roles.
• Industry-specific context: MMM roles may vary depending on the industry and the specific business problems being addressed.
• Career path comparison: This role offers opportunities for career growth into senior management roles within Accenture or the client's organization.

ASSUMPTION: This role offers unique opportunities for career growth and development, with a focus on managing a team and driving strategic initiatives. Candidates should be prepared to leverage their skills and experience to make a significant impact in this role.

📝 Sample Projects

• Developing and implementing an MMM model to optimize promotional channels and budget allocation for a major retail client.
• Conducting a comprehensive market research analysis to inform strategic decision-making for a leading technology company.
• Designing and executing a data-driven marketing campaign to improve customer acquisition and retention for a financial services firm.

ASSUMPTION: These sample projects illustrate the diverse and challenging nature of the work in this role, requiring strong analytical, problem-solving, and communication skills.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and dynamics for this role?
• How does this role fit into the overall organization and reporting structure?
• What are the key priorities for this role in the first 30, 60, and 90 days?
• How does Accenture support the professional development and growth of its employees in this role?
• Can you provide examples of how this role has contributed to the success of previous projects or clients?

ASSUMPTION: Asking these key questions during the interview process will help candidates better understand the role, the team, and the organization, enabling them to make a more informed decision about their fit and potential for success.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through the following link: Accenture Careers - S&C Global Network - AI - Marketing Analytics (MMM) - Manager
• Tailor your resume and cover letter to highlight your relevant skills and experiences for this role.
• Prepare for technical assessments and interviews by brushing up on your MMM, statistical modeling, and relevant technology skills.
• Research Accenture's company culture and values to show your understanding and alignment with the organization.
• Follow up with the hiring manager or recruiter after your interview to express your interest in the role and ask about next steps in the process.

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.