{"id":1989757,"url":"https://alion.io/job/sutherland-manager-advanced-analytics-data-science-individual-contributor","title":"Manager, Advanced Analytics & Data Science (Individual Contributor)","company":{"id":6648,"name":"Sutherland","domain":"sutherlandglobal.com","url":"https://alion.io/company/sutherland","size_band":"201-500","is_staffing_agency":false,"employer_type":"services","is_intermediary":false,"listed_via":null,"ats_vendor":"SmartRecruiters","truth_index":{"grade":"B","score":80,"open_postings":42,"ghost_share":0,"stale_share":1,"repost_share":0,"time_to_fill_p50_days":21,"computed_at":"2026-10-10T05:45:15Z"}},"role":"Analytics","role_family":"Analytics","seniority":"middle","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Taguig, Philippines"],"countries":["PH"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":8500,"max_usd":20000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":1431},"experience_years_min":4,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"Databricks","optional":false},{"name":"Git","optional":false},{"name":"Machine Learning","optional":false},{"name":"NLP","optional":false},{"name":"pySpark","optional":false},{"name":"Python","optional":false},{"name":"Spark","optional":false},{"name":"SQL","optional":false}],"status":"live","first_seen_at":"2026-10-07T04:58:57Z","employer_posted_date":"2026-10-07","last_verified_at":"2026-10-11T16:37:58Z","board_verified":true,"closed_at":null,"days_open":4,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":4},"description":"Shape Business Decisions Through Data\nSutherland 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.\nIn 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.\nIf 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.\n *For Pooling Purposes*\nWhat You'll Do\nAdvanced Analytics & Business Insights\nPerform deep-dive analyses to uncover trends, patterns, opportunities, and risks across business operations.\nDevelop descriptive, diagnostic, and predictive analytics solutions to support strategic decision-making.\nTranslate complex business questions into actionable analytical frameworks and recommendations.\nDeliver executive-level insights through compelling storytelling, visualizations, and presentations.\nData Science & Machine Learning\nDesign, build, and deploy predictive models, including forecasting, classification, clustering, and recommendation models.\nApply statistical methods to identify business drivers and improve performance outcomes.\nEvaluate model effectiveness and continuously refine solutions to maximize accuracy and business value.\nLeverage Python, SQL, and modern analytics tools to support scalable data science initiatives.\nAI, Text Analytics & Automation\nAnalyze unstructured data sources such as customer interactions, transcripts, feedback, and operational documentation.\nUtilize Natural Language Processing (NLP) and AI-based methodologies to identify sentiment, themes, behaviors, and emerging trends.\nSupport the development of intelligent analytics solutions that enhance operational performance and customer experience.\nBusiness Consulting & Stakeholder Management\nPartner directly with business leaders to define requirements, align priorities, and identify opportunities for data-driven improvements.\nServe as a trusted advisor, helping stakeholders convert insights into measurable business actions.\nLead analytical discussions and effectively communicate technical concepts to non-technical audiences.\nManage multiple strategic initiatives while maintaining high-quality delivery standards.\nModern Data Platforms & Reporting\nWork with large-scale data environments, cloud-based analytics platforms, and enterprise reporting solutions.\nSupport analytics modernization efforts by translating legacy reporting logic into scalable data solutions.\nCollaborate with data engineering teams to ensure data quality, governance, and accessibility.\n Required\nBachelor's degree in Statistics, Mathematics, Data Science, Computer Science, Engineering, Economics, or a related quantitative discipline.\nAt least 4 years of experience in Data Science, Advanced Analytics, Business Analytics, or a related field.\nStrong expertise in SQL and Python for data analysis and model development.\nExperience building predictive and statistical models, including forecasting, regression, classification, and segmentation.\nSolid understanding of data visualization and business intelligence concepts.\nExperience working directly with business stakeholders and translating business challenges into analytical solutions.\nStrong problem-solving, presentation, and communication skills.\nExperience using Git or similar version control tools.\nPreferred\nExperience with cloud-based analytics platforms such as Databricks or similar technologies.\nKnowledge of Spark SQL,PySpark, or large-scale data processing frameworks.\nExperience in Natural Language Processing (NLP), text analytics, or AI-driven modeling.\nFamiliarity with modern machine learning frameworks and model deployment practices.\nExposure to optimization modeling, resource planning, workforce optimization, or operational analytics.\nExperience supporting high-volume customer-facing, sales, service, or operations environments.\n Why Join Sutherland?\nDrive high-impact analytics initiatives that influence business strategy and operational excellence.\nWork with modern data technologies, advanced modeling techniques, and AI-powered solutions.\nPartner directly with senior leaders and decision-makers across the organization.\nEnjoy the autonomy and visibility of a leadership-level individual contributor role.\nBe part of a collaborative, innovation-focused environment where your insights create measurable business value.\nContribute to large-scale analytics transformation programs and future-focused data strategies.\nReady to make data matter?\nJoin Sutherland and help shape smarter business decisions through advanced analytics, machine learning, and data-driven innovation.","description_format":"text","description_chars":5179,"description_truncated":false,"requirements":{"experience_years_min":4,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[{"language":"English","level":"All 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