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Senior Manager, Data Science - job 2 of 3

Company Description

About Sia 

Sia is a next-generation, global management consulting group. Founded in 1999, we were born digital. Today our strategy and management capabilities are augmented by data science, enhanced by creativity and driven by responsibility. We’re optimists for change and we help clients initiate, navigate and benefit from transformation. We believe optimism is a force multiplier, helping clients to mitigate downside and maximize opportunity. With expertise across a broad range of sectors and services, our 3,000 consultants serve clients worldwide from 48 locations in 19 countries. Our expertise delivers results. Our optimism transforms outcomes. 

Sia’s AI & Data Business Unit is the powerhouse of our firm’s innovation—merging cutting-edge Data Science, Generative AI, and advanced digital solutions to transform industries. With over 350 experts worldwide, we tackle projects from proof-of-concept to large-scale deployment, always pushing the boundaries of AI capabilities. Our 12 R&D labs in Europe and North America drive continuous research in areas like computer vision, MLOps, and deep learning, partnering closely with our business consultants for real-world impact. By joining Sia’s AI & Data team, you’ll step into a vibrant, collaborative environment that nurtures professional growth and empowers you to shape the future of AI-driven consulting. 

Job Description

Sia is looking to hire an exceptional Senior Manager to our Data Science team. This pivotal role involves working with cutting-edge data science technologies and driving transformation within the organization and among our clients. The successful candidate will spearhead our data science initiatives, leading a team of talented data science consultants, to deliver innovative solutions that meet our clients' diverse needs. 

Key Responsibilities: 

  • Lead and mentor a team of data science consultants, fostering an environment of growth and development within the Data Science Business Unit. 
  • Collaborate closely with client leadership teams, engineers, program managers, and data analysts to understand and address data needs comprehensively. 
  • Drive the acquisition, processing, and exploration of relevant data sources, leveraging both structured and unstructured data to uncover trends and patterns. 
  • Employ expert data analytics and data science skills to extract insights, build predictive models, and develop machine-learning algorithms. 
  • Design and implement change management strategies to support the successful adoption of data science solutions across various organizational contexts. 
  • Utilize advanced project management methodologies to oversee projects from inception to completion, ensuring alignment with client objectives and timelines. 
  • Develop and deliver high-impact communications through presentations, dashboards, datasets, and other mediums to convey complex data insights effectively. 
  • Engage in Business Development activities, contributing to the growth of the Data Science Business Unit and achieving sales targets. 

Qualifications

  • A minimum of 8 years' experience in data science or a related field, with a proven track record of leading successful projects in complex organizations. 
  • Strong foundational knowledge in data science, including expertise in model building, machine learning, NLP, and statistical techniques. 
  • Proficiency in R, SQL, Python, and data visualization tools such as Tableau, PowerBi, or R Shiny. 
  • Bachelor's degree in Data Science, Computer Science, Engineering, or a related field. Advanced degrees preferred. 
  • Demonstrated experience in project management, with certifications in Agile or other relevant methodologies being advantageous. 
  • Exceptional leadership, coaching, and influence skills, with the ability to build trust and foster collaborative relationships at all organizational levels. 
  • Excellent communication, presentation, and problem-solving abilities, coupled with a strong business acumen and entrepreneurial mindset. 
  • Comfortable with ambiguity and motivated by a dynamic, fast-paced work environment. 

Additional Information

Why Join Sia? 

Excellence | Entrepreneurship | Innovation | Teamwork | Care & Support | Employee Wellbeing 

These are the six core values that guide all our actions.  

Your experience at Sia will be enriched by a(n):   

  • Entrepreneurial journey 
  • Support with achieving professional development goals through guidance and real-time feedback 
  • Continuous learning & development opportunities 

Compensation & Benefits 

  • Salary range is between $160,000 - $220,000 + Annual Discretionary Bonus 
  • Healthcare coverage that includes 3 medical plan options: Anthem – EPO HSA, EPO HSA MERP, and PPO; dental and vision through MetLife; and life insurance policies through Mutual of Omaha 
  • Flexible Spending Account (FSA) 
  • Paid Time Off  
  • Parental leave paid at 100% of base pay for all new parents   
  • 9 Company Holidays + 1 Floating Holiday  
  • 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  
  • Sia provides several wellness and incentive programs free of charge through the firm medical plan – Anthem - such as:  
    • Gym Reimbursement 
    • LiveHealth Online 
    • Well-being Coach 
    • Building Healthy Families Program  
    • And much more 

Diversity, Equity, Inclusion & Belonging 

At Sia, we believe in fostering a diverse, equitable and inclusive culture where our employees and partners are valued and thrive in a sense of belonging. We are committed to recruiting and developing a diverse network of employees and investing in their growth by providing unique opportunities for professional and cultural immersion. Our commitment toward inclusion motivates dynamic collaboration with our clients, building trust by creating an inclusive environment of curiosity and learning which affects lasting impact. Please visit our website for more information.  

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. 

Office Workplace Guidelines  

Sia is committed to providing a flexible workplace environment that supports client, business, and market needs. Consultants located in our primary market office locations—New York City, Charlotte, Seattle, and San Francisco—are expected to live within a reasonable commuting distance and attend the office at least three days per week. For Consultants outside of our primary markets, we can offer more flexible in-person requirements in accordance with your location. 

Work Authorization & Sponsorship  

At this time, Sia does not intend to pursue employment with applicants who will require now or in the future visa by our company for work authorization in the United States (i.e., H1-B visa, F-1 visa (OPT), TN visa, or any other non-immigrant status).  

Sia is an equal opportunity employer. All aspects of employment, including hiring, promotion, remuneration, or discipline, are based solely on performance, competence, conduct, or business needs. 

Average salary estimate

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What You Should Know About Senior Manager, Data Science , Sia

At Sia, we're on the hunt for a dynamic Senior Manager, Data Science to join our innovative AI & Data Business Unit based in New York City. If you're excited about merging data science with strategic consulting, this role is tailor-made for you! As a Senior Manager, you'll lead a team of talented data science consultants, driving transformative projects and providing clients with cutting-edge solutions that meet their unique needs. Collaborating closely with engineers and program managers, you'll identify data needs and leverage both structured and unstructured data to extract meaningful insights. You’ll play a vital role in developing predictive models and deploying machine-learning algorithms, all while overseeing projects end-to-end with advanced project management methodologies. At Sia, you’ll also have the autonomy to design and implement change management strategies, ensuring that data science solutions are embraced organization-wide. Your presence will not only foster growth within the team but also contribute to the expansion of our Data Science Business Unit. With a minimum of 8 years in data science or related fields, you bring strong expertise in statistical techniques, machine learning, and tools like R, SQL, and Python. Our vibrant team is here to support your professional growth, pushing you to excel alongside us in our mission to redefine consulting through data science innovation. Join us at Sia, and let’s shape the future together!

Frequently Asked Questions (FAQs) for Senior Manager, Data Science Role at Sia
What are the responsibilities of a Senior Manager, Data Science at Sia?

As a Senior Manager, Data Science at Sia, you will be responsible for leading and mentoring a team of talented data science consultants. You'll collaborate with client leadership to identify data needs, manage projects from inception to completion, and implement change management strategies. Your expertise in data analytics will drive insights and help deliver innovative solutions tailored to clients’ unique challenges.

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What qualifications are required for the Senior Manager, Data Science role at Sia?

To qualify for the Senior Manager, Data Science position at Sia, candidates should have at least 8 years of experience in data science or a related field. A strong foundational knowledge in data science, proficiency in tools like R, SQL, Python, and experience with project management methodologies are essential. An advanced degree is preferred, along with excellent leadership and communication skills.

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What skills are important for a Senior Manager, Data Science at Sia?

Key skills for a Senior Manager, Data Science at Sia include expertise in model building, machine learning, and advanced statistical techniques. You should be proficient in data visualization tools like Tableau or PowerBi, possess exceptional leadership, coaching skills, and be comfortable working in a fast-paced, dynamic environment. Strong problem-solving and business acumen are also vital.

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How does Sia support the professional growth of a Senior Manager, Data Science?

At Sia, professional growth is prioritized through continuous learning and development opportunities. As a Senior Manager, you'll receive guidance and real-time feedback, along with access to various resources to help you achieve your professional development goals. Our inclusive and collaborative culture fosters personal and career growth, empowering you to thrive.

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What is the work environment like for a Senior Manager, Data Science at Sia?

The work environment for a Senior Manager, Data Science at Sia is vibrant and collaborative. You’ll work alongside other industry experts in a supportive culture that values innovation and teamwork. With flexible workplace guidelines, particularly in major markets like New York City, Sia encourages a balance that allows professionals to work effectively while also fostering personal connections.

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Common Interview Questions for Senior Manager, Data Science
Can you describe your experience leading data science teams?

In your response, mention specific examples of teams you've led, the projects you undertook, and how you supported and mentored team members. Highlight your leadership style and how it contributes to team success.

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What methodologies do you use for managing data science projects?

Discuss your familiarity with project management methodologies like Agile or Scrum. Describe a project where you successfully implemented these methodologies and how they influenced the project's outcome.

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How do you approach building predictive models?

Explain your step-by-step approach to building predictive models, including data cleaning, feature selection, and model validation. Provide an example of a predictive model you developed and its impact.

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What tools and technologies do you prefer for data analysis?

Mention your proficiency in tools such as R, SQL, Python, and data visualization platforms like Tableau. Discuss how you choose the appropriate tool based on project requirements.

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How do you ensure your solutions meet client needs?

Talk about your experience in collaborating with clients and stakeholders to identify their needs. Elaborate on how you incorporate their feedback throughout the project lifecycle to ensure alignment with their expectations.

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Can you share an example of a successful data science project you managed?

Choose a specific project where you played a key role. Describe the goals, your contributions, the methodologies used, and the results achieved, particularly how it benefited the client or organization.

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What strategies do you employ to communicate complex data insights?

Discuss methods for translating technical jargon into understandable insights for non-technical stakeholders. Include examples of communication mediums you’ve used, such as presentations or dashboards.

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How do you keep current with trends in data science?

Explain your approach to continuous learning, including attending workshops, conferences, or engaging with online communities. Mention any recent advancements in data science that excite you.

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How do you foster a collaborative culture within your team?

Share your strategies for creating a collaborative environment, such as holding regular brainstorming sessions or establishing open lines of communication. Provide an example of a successful team initiative.

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What challenges have you faced in data science projects, and how did you overcome them?

Reflect on a specific challenge, your initial approach, and the steps taken to resolve it. Emphasize your problem-solving skills and ability to adapt to changing situations.

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Full-time, hybrid
DATE POSTED
April 15, 2025

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