Sutherland

Manager, Advanced Analytics & Data Science (Individual Contributor)

Taguig, NCR, Philippines · On-site · Full-time

You apply directly with the employer. ROLIVA does not submit applications from this page and is not the employer.

About the role

Description from the employer’s posting. Check the employer’s page for the current version.

*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.

Show full description

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.

Check your resume against this job Free, no sign-up. Nothing you paste is stored.

Never pay to apply, interview or accept an offer. ROLIVA never asks you for payment to apply to a job.
Apply only through the official “Apply on the employer’s site” button, on the employer’s own site, and check that a recruiter’s email uses that employer’s own domain rather than a free email address.
Be cautious of an offer made with no real interview, or pressure to decide quickly or share financial details early.

Does something look wrong with this listing? Use “Report broken link” in the role details, or read ROLIVA’s full job-safety guidance ↗.

Check the fit.
Compare the requirements with the experience you have confirmed, including gaps.
Prepare honestly.
Build interview stories and application drafts from your own evidence.
Keep track.
Save the role and record your own application status and follow-ups.