Manager, Advanced Analytics & Data Science (Individual Contributor)

Sutherland · IT Services & Consulting

Taguig, NCR, ph
On-site
Posted today
Data & AI
Full-time

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About the job

Shape Business Decisions Through Data

Sutherland is seeking a highly analytical, business-minded Manager, Advanced Analytics & Data Science to join our growing Analytics organization. This is a leadership-level individual contributor role designed for a data science professional who excels at transforming complex data into strategic insights, predictive solutions, and business impact.

In this role, you will work closely with senior stakeholders, leveraging modern analytics platforms, machine learning, statistical modeling, and AI-driven techniques to solve real-world business challenges. You'll have the opportunity to influence operational efficiency, customer experience, workforce optimization, and revenue-driving strategies through advanced data science and analytics.

If you're passionate about turning data into decisions and enjoy partnering directly with leaders to solve high-impact business problems, we'd love to connect with you.

*For Pooling Purposes*

What You'll Do

Advanced Analytics & Business Insights

Perform deep-dive analyses to uncover trends, patterns, opportunities, and risks across business operations.

Develop descriptive, diagnostic, and predictive analytics solutions to support strategic decision-making.

Translate complex business questions into actionable analytical frameworks and recommendations.

Deliver executive-level insights through compelling storytelling, visualizations, and presentations.

Data Science & Machine Learning

Design, build, and deploy predictive models, including forecasting, classification, clustering, and recommendation models.

Apply statistical methods to identify business drivers and improve performance outcomes.

Evaluate model effectiveness and continuously refine solutions to maximize accuracy and business value.

Leverage Python, SQL, and modern analytics tools to support scalable data science initiatives.

AI, Text Analytics & Automation

Analyze unstructured data sources such as customer interactions, transcripts, feedback, and operational documentation.

Utilize Natural Language Processing (NLP) and AI-based methodologies to identify sentiment, themes, behaviors, and emerging trends.

Support the development of intelligent analytics solutions that enhance operational performance and customer experience.

Business Consulting & Stakeholder Management

Partner directly with business leaders to define requirements, align priorities, and identify opportunities for data-driven improvements.

Serve as a trusted advisor, helping stakeholders convert insights into measurable business actions.

Lead analytical discussions and effectively communicate technical concepts to non-technical audiences.

Manage multiple strategic initiatives while maintaining high-quality delivery standards.

Modern Data Platforms & Reporting

Work with large-scale data environments, cloud-based analytics platforms, and enterprise reporting solutions.

Support analytics modernization efforts by translating legacy reporting logic into scalable data solutions.

Collaborate with data engineering teams to ensure data quality, governance, and accessibility.

Required Qualifications:

Bachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, or a related quantitative discipline.

At least 4 years of experience in Data Science, Advanced Analytics, Business Analytics, or a related field.

Strong expertise in SQL and Python for data analysis and model development.

Experience building predictive and statistical models, including forecasting, regression, classification, and segmentation.

Solid understanding of data visualization and business intelligence concepts.

Experience working directly with business stakeholders and translating business challenges into analytical solutions.

Strong problem-solving, presentation, and communication skills.

Experience using Git or similar version control tools.

Preferred Qualifications:

Experience with cloud-based analytics platforms such as Databricks or similar technologies.

Knowledge of Spark SQL , PySpark, or large-scale data processing frameworks.

Experience in Natural Language Processing (NLP) , text analytics, or AI-driven modeling.

Familiarity with modern machine learning frameworks and model deployment practices.

Exposure to optimization modeling, resource planning, workforce optimization, or operational analytics.

Experience supporting high-volume customer-facing, sales, service, or operations environments.

Why Join Sutherland?

Drive high-impact analytics initiatives that influence business strategy and operational excellence.

Work with modern data technologies, advanced modeling techniques, and AI-powered solutions.

Partner directly with senior leaders and decision-makers across the organization.

Enjoy the autonomy and visibility of a leadership-level individual contributor role.

Be part of a collaborative, innovation-focused environment where your insights create measurable business value.

Contribute to large-scale analytics transformation programs and future-focused data strategies.

Ready to make data matter?

Join Sutherland and help shape smarter business decisions through advanced analytics, machine learning, and data-driven innovation.

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