Data Science Manager – Marketing & Strategy

📌 Core Information

🔹 Job Title: Data Science Manager – Marketing & Strategy

🔹 Company: Sia

🔹 Location: New York, New York, United States

🔹 Job Type: Full-time

🔹 Category: Business Consulting

🔹 Date Posted: May 22, 2025

🔹 Experience Level: 5-10 years

🔹 Remote Status: Hybrid (3 days on-site per week)

🚀 Job Overview

Key aspects of this role include:

• Leading data science projects focused on marketing analytics across various sectors.
• Applying data science techniques to complex marketing problems, including customer segmentation, predictive modeling, and personalized marketing.
• Collaborating with Sia's US Data Science Lead, Business Units teams, and global Data Science centers to develop proposals for potential opportunities.
• Identifying opportunities to expand Sia's Data Science offering to existing clients.
• Building and maintaining external professional peer networks to drive new revenue opportunities.
• Supporting marketing campaigns, contributing to external positioning, and developing Sia's assets, including methodologies and tools.
• Leading recruitment initiatives for the Data Science team, advising on market positioning, and supporting the operational and career management of data science consultants.
• Mentoring colleagues in performance and development, facilitating learning, and enhancing the team's technical knowledge and consulting skills.

ASSUMPTION: This role requires a strong background in data science, marketing, and team leadership. The ideal candidate will have experience working in a consulting environment and be comfortable managing projects from conception to completion within tight deadlines.

📋 Key Responsibilities

✅ Lead the delivery of data science projects, working across several clients in the US.

✅ Apply data science techniques to complex marketing problems, including customer segmentation, predictive modeling, and personalized marketing.

✅ Collaborate with Sia's US Data Science Lead, Business Units teams, and global Data Science centers to develop proposals for potential opportunities.

✅ Identify opportunities to expand Sia's Data Science offering to existing clients.

✅ Build and maintain external professional peer networks to drive new revenue opportunities.

✅ Support marketing campaigns, contribute to external positioning, and develop Sia's assets, including methodologies and tools.

✅ Lead recruitment initiatives for the Data Science team, advise on market positioning, and support the operational and career management of data science consultants.

✅ Mentor colleagues in performance and development, facilitate learning, and enhance the team's technical knowledge and consulting skills.

ASSUMPTION: The role involves a mix of strategic thinking, project management, and hands-on data science work. The ideal candidate will be comfortable working in a dynamic, fast-paced environment and be able to balance multiple projects and priorities.

🎯 Required Qualifications

Education: Bachelor's degree in a quantitative field (e.g., Statistics, Mathematics, Computer Science, or a related field) or equivalent experience.

Experience: Proven experience in applying data science solutions to marketing problems, particularly in customer segmentation, predictive modeling, and personalized marketing. Experience leading and developing high-performing teams, preferably in a consulting environment.

Required Skills:

• Expertise in Python, R, SQL, cloud-based infrastructures (AWS, Google Cloud, Microsoft Azure), and BI tools (Power BI, Tableau, Qlik).
• Excellent communication skills to convey complex technical information in simple terms to various stakeholders.
• Strong organizational skills and the ability to manage projects from conception to completion within tight deadlines.
• Deep understanding of marketing challenges and familiarity with sectors such as luxury, FMCG, energy, banking, and insurance.

Preferred Skills:

• Experience with generative AI and MLOps.
• Fluency in additional languages.

ASSUMPTION: The ideal candidate will have a strong technical background in data science, combined with experience in marketing and team leadership. Familiarity with the consulting industry and relevant sectors is a plus.

💰 Compensation & Benefits

Salary Range: $165,000 per year. Actual compensation within that range will be dependent upon the individual's skills, experience, qualifications, and market location.

Benefits:

• Annual Discretionary Bonus
• Healthcare Coverage (Anthem – EPO HSA, EPO HSA MERP, and PPO; dental and vision through MetLife; life insurance policies through Mutual of Omaha)
• Flexible Spending Account (FSA)
• Paid Time Off (9 Company Holidays + 1 Floating Holiday)
• Parental Leave Paid at 100% of Base Pay
• 401(k) Plan (4% matching and vested on day 1)
• College Save-Up Plan & College Loan Repayment Plan
• Monthly Cell Phone Stipend
• Pre-Tax Account for Parking and Mass Transit
• Wellness Programs (Gym Reimbursement, LiveHealth Online, Well-being Coach, Building Healthy Families Program)

Working Hours: Full-time (40 hours per week) with flexible work arrangement (3 days on-site per week).

ASSUMPTION: The salary range provided is based on industry standards for a data science manager role in the consulting industry. The benefits package is competitive and designed to support the well-being and professional development of employees.

📌 Applicant Insights

🔍 Company Context

Industry: Business Consulting and Services. Sia is a global management consulting group that partners with clients to resolve challenges and capitalize on opportunities. They believe that optimism is a force multiplier in today's world of change and disruption.

Company Size: Medium (1,001-5,000 employees). Sia's size allows for a diverse range of projects and opportunities for professional growth, while still maintaining a collaborative and entrepreneurial culture.

Founded: 1999. Sia was born digital and has since grown into a global firm with expertise across a broad range of sectors and services.

Company Description:

• Sia is a next-generation, global management consulting group—born digital, augmented by data, enhanced by creativity, and driven by responsibility.
• They partner with clients to resolve challenges and capitalize on opportunities, believing that optimism is a force multiplier in today's world of change and disruption.
• Sia's AI & Data Business Unit is the powerhouse of the firm's innovation, merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries.

Company Specialties:

• Banking
• Energy & Environment
• HR & Transformation
• Manufacturing
• Telecommunications
• Actuarial Sciences
• Government
• CIO Advisory
• Data Science
• Insurance
• Transportation & Logistics
• Marketing & Customer Experience
• Digital Transformation
• Change Management
• Procurement & Sourcing
• Corporate Strategy
• Operational Excellence
• Healthcare
• Generative AI
• and Digital & Design

Company Website: www.sia-partners.com

ASSUMPTION: Sia's diverse range of specialties and global presence provide ample opportunities for consultants to gain experience across various industries and sectors. The company's commitment to data-driven decision-making and innovation sets it apart in the consulting landscape.

📊 Role Analysis

Career Level: Mid-level to senior. This role requires a significant amount of experience in data science, marketing, and team leadership.

Reporting Structure: The Data Science Manager will report directly to the US Data Science Lead and collaborate with Business Units teams and global Data Science centers.

Work Arrangement: Hybrid (3 days on-site per week). This arrangement allows for a balance between collaboration and flexibility, enabling consultants to work from anywhere for up to 2 days per week.

Growth Opportunities:

• Leading larger teams and taking on more strategic responsibilities as the Data Science practice grows.
• Expanding expertise into new areas, such as generative AI or other emerging technologies.
• Transitioning into a more senior role, such as a Data Science Director or Partner, as the firm continues to expand.

ASSUMPTION: Sia's commitment to professional development and growth opportunities makes it an attractive choice for data science professionals looking to advance their careers in a dynamic and supportive environment.

🌍 Location & Work Environment

Office Type: Hybrid (3 days on-site per week). Sia's offices are designed to be collaborative and innovative spaces that foster creativity and productivity.

Office Location(s): 48 Wall Street, New York, NY 10043, USA

Geographic Context:

• New York City is a major global hub for finance, technology, and consulting, providing ample opportunities for networking and professional growth.
• The city's diverse cultural scene and vibrant neighborhoods offer a high quality of life for residents.
• New York's competitive job market drives a high standard of excellence and continuous learning.

Work Schedule: Full-time (40 hours per week) with flexible work arrangement (3 days on-site per week).

ASSUMPTION: Sia's hybrid work arrangement allows for a balance between collaboration and flexibility, enabling consultants to work from anywhere for up to 2 days per week. The firm's commitment to a supportive and inclusive work environment fosters a positive and productive work experience.

💼 Interview & Application Insights

Typical Process:

• Online application submission
• Phone or video screen with the HR team
• Technical assessment or case study
• Behavioral interview with the hiring manager
• Final interview with the US Data Science Lead or another senior team member
• Reference checks

Key Assessment Areas:

• Technical expertise in data science, marketing, and relevant tools
• Leadership and team management skills
• Problem-solving and analytical skills
• Communication and presentation skills
• Cultural fit and alignment with Sia's values

Application Tips:

• Tailor your resume and cover letter to highlight relevant experience and skills for this specific role.
• Prepare for behavioral interview questions by reflecting on your past experiences and accomplishments.
• Showcase your technical skills through a well-structured portfolio or examples of your work.
• Research Sia's company culture and values to demonstrate your fit for the organization.

ATS Keywords: Data Science, Marketing, Team Leadership, Python, R, SQL, Cloud-based Infrastructures, BI Tools, Customer Segmentation, Predictive Modeling, Personalized Marketing, Consulting, Project Management

ASSUMPTION: Sia's recruitment process is designed to assess both technical skills and cultural fit. Applicants should be prepared to demonstrate their expertise and passion for data science and marketing, as well as their ability to thrive in a dynamic and collaborative work environment.

🛠️ Tools & Technologies

• Python
• R
• SQL
• Cloud-based infrastructures (AWS, Google Cloud, Microsoft Azure)
• BI tools (Power BI, Tableau, Qlik)
• Marketing automation tools (e.g., Marketo, HubSpot)
• Data visualization tools (e.g., Tableau, Power BI)
• Project management tools (e.g., Asana, Jira)

ASSUMPTION: The ideal candidate will have experience with the listed tools and technologies, as well as a willingness to learn and adapt to new tools as needed.

👔 Cultural Fit Considerations

Company Values:

• Optimism
• Collaboration
• Expertise
• Responsibility
• Creativity

Work Style:

• Dynamic and fast-paced
• Collaborative and team-oriented
• Data-driven and innovative
• Focused on delivering results and driving impact

Self-Assessment Questions:

• How do you embody Sia's value of optimism in your approach to work and problem-solving?
• Describe a time when you had to adapt to a significant change or challenge in a project. How did you approach it, and what was the outcome?
• How do you balance the need for deep technical expertise with the ability to communicate complex ideas effectively to non-technical stakeholders?

ASSUMPTION: Sia's cultural values are central to the firm's success and guide its approach to client relationships, project delivery, and internal collaboration. Applicants should be prepared to demonstrate their alignment with these values and their ability to thrive in a dynamic and innovative work environment.

⚠️ Potential Challenges

• Managing multiple projects and priorities simultaneously.
• Balancing technical depth with strategic thinking and communication.
• Navigating a fast-paced and dynamic work environment.
• Adapting to changes in project scope, priorities, or team composition.
• Working with diverse stakeholders, including clients, team members, and senior leadership.

ASSUMPTION: The Data Science Manager role at Sia presents unique challenges that require strong project management, communication, and adaptability skills. Applicants should be prepared to thrive in a dynamic and fast-paced environment and be comfortable managing multiple projects and priorities.

📈 Similar Roles Comparison

• Data Science Manager vs. Data Science Director: The main difference lies in the scope of responsibilities and the size of teams managed. A Data Science Manager typically leads smaller teams and focuses on project delivery, while a Data Science Director oversees larger teams and is more involved in strategic decision-making and business development.
• Industry-specific context: Sia's focus on business consulting and marketing analytics sets this role apart from data science positions in other industries, such as tech or finance. The role requires a strong understanding of marketing challenges and familiarity with relevant sectors.
• Career path comparison: This role serves as an excellent stepping stone for data science professionals looking to advance their careers in consulting. It provides exposure to a wide range of industries and sectors, as well as opportunities to develop leadership and strategic skills.

ASSUMPTION: The Data Science Manager role at Sia offers a unique blend of technical depth, strategic thinking, and leadership responsibilities. Applicants should be prepared to leverage their diverse skill set and adapt to the dynamic nature of the role.

📝 Sample Projects

• Developing a customer segmentation model for a luxury retailer to optimize marketing campaigns and enhance customer retention strategies.
• Creating a predictive model for a banking client to anticipate customer behaviors and support customer retention strategies.
• Designing a pricing strategy for an FMCG client, leveraging generative AI for innovative product creation and cross-selling opportunities.

ASSUMPTION: The projects listed above are examples of the types of initiatives a Data Science Manager at Sia might work on. The ideal candidate will have experience with similar projects and be comfortable working on a diverse range of marketing analytics challenges.

❓ Key Questions to Ask During Interview

• Can you describe the team structure and dynamics of the Data Science practice within Sia?
• How does Sia support the professional development and growth of its Data Science team members?
• What are the most significant challenges facing the Data Science practice at Sia, and how is the firm addressing them?
• How does Sia collaborate with clients to ensure that data science projects deliver meaningful business impact?
• What is the typical timeline for a Data Science Manager to take on more strategic responsibilities or advance within the firm?

ASSUMPTION: Asking thoughtful and insightful questions during the interview process demonstrates your interest in the role and commitment to understanding the organization's culture and priorities. Applicants should be prepared to ask questions that showcase their curiosity and engagement with the position.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through this link
• Tailor your resume and cover letter to highlight relevant experience and skills for this specific role.
• Prepare for behavioral interview questions by reflecting on your past experiences and accomplishments.
• Showcase your technical skills through a well-structured portfolio or examples of your work.
• Research Sia's company culture and values to demonstrate your fit for the organization.
• Follow up with the hiring manager or HR team one week after your interview to express your continued interest in the role.

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