Senior Data Science Manager

Maya Bank, Inc.; Manila; On-site; PHP 2,000,000 - 3,000,000; Full time

Job summary

Maya Bank, Inc. is seeking a Senior Manager to lead the IOps (Intelligent Operations) pillar within the Data Science and AI department.

This role will drive development of a unified conversational intelligence platform across chatbots and voicebots, integrating data assets, models, and AI capabilities to deliver scalable, context-aware customer experiences. The ideal candidate has deep GenAI expertise, 8+ years in data science, and 5+ years leading teams, with a proven ability to translate AI

Qualifications

• Master's degree or Ph.D. in a quantitative field (Statistics, Mathematics, CS).
• Experience deploying LLM-based or multi-agent conversational AIs in production.
• 8+ years in data science or related field.
• 5+ years leading data science teams.
• Proven track record delivering impactful data science projects in fast-paced environments.
• Strong analytical and problem-solving skills.

Responsibilities

• Lead and mentor a team of data scientists, ML, AI and analytics engineers.
• Design multi-agent orchestration frameworks.
• Define agent roles and handoff logic.
• Build evaluation and guardrail systems for conversational AI.
• Architect a unified intelligence layer to leverage chat and voice channels for consistent customer experiences.
• Develop and implement data science strategies aligned with business objectives.
• Build and maintain high-performing data science models and pipelines.
• Conduct research and experimentation on cutting-edge AI/GenAI/ML techniques.
• Collaborate with product, engineering, marketing, business to deliver impactful solutions.
• Stay abreast of latest advancements in data science and technology.
• Communicate complex technical concepts to technical and non-technical audiences.
• Extract valuable insights from large datasets to guide model development.
• Measure and iterate on solutions to maximize customer satisfaction impact.

Skills

GenAI

Agentic AI

Leadership

Production deployment

Financial services domain knowledge

Education

Master's degree or Ph.D. in quantitative field

Job description

Overview:

WeareseekingaSenior Manager toleadourIOps(IntelligentOperations)pillarwithintheDataScienceandAIdepartment.

Thisleaderwilldrivethedevelopmentanddeliveryofaunifiedconversationalintelligenceplatform—spanningchatbotsandvoicebots—builtonmulti-agentAIarchitecturesthatservecustomersacrosstheirentirefinancialjourney.

Beyond the pillar's core product mandate, this leader will architect a unified intelligence layer — drawing on the company's data assets, models, and AI capabilities — that both the chatbot and voicebot channels leverage to deliver consistent, context-aware, and intelligent customer experiences. This shared intelligence foundation will also extend beyond customer-facing applications, driving operational efficiency across the company through intelligent automation, predictive models, and AI-assisted workflows that reduce costs, accelerate processes, and improve decision-making at scale.

Ideal candidates possess deep technical expertise in GenAI and agentic AI systems, with a proven ability to integrate complex models into scalable production environments. They combine a strong understanding of financial services with a track record of leadership and translating AI capabilities into measurable business outcomes.

What you will do:

• Leadandmentorateamofdatascientists,machinelearning,AIandanalyticsengineers.
• Designingmulti-agentorchestrationframeworks
• Definingagentrolesandhandofflogic
• BuildingevaluationandguardrailsystemsforconversationalAI
• Architectingaunifiedintelligencelayerthatbothchatandvoicechannelsleveragetodeliverconsistent,context-aware,andintelligentcustomerexperiences
• Developandimplementdatasciencestrategiesalignedwithbusinessobjectives.
• Buildandmaintainhigh-performingdatasciencemodelsandpipelines.
• Conductresearchandexperimentationoncutting-edgeAI/GenAI/MLtechniques.
• Collaboratewithcross-functionalteams(e.g.,product,engineering,marketing,business)todeliverimpactfulsolutions.
• Stayabreastofthelatestadvancementsindatascienceandtechnology.
• Communicatecomplextechnicalconceptstobothtechnicalandnon-technicalaudiences.
• Extractvaluableinsightsfromlargedatasetstoguidemodeldevelopment
• Measureanditerateonsolutionstomaximizecustomersatisfactionimpact.

What we are looking for:

• Master'sdegreeorPh.D.inaquantitativefield(e.g.,Statistics,Mathematics,ComputerScience)
• DemonstratedexperiencedeployingLLM-basedormulti-agentconversationalAIsystemsinproduction
• 8+yearsofexperienceindatascienceorarelatedfield
• 5+yearsofexperienceleadingandmanaginghigh-performingdatascienceteams
• Proventrackrecordofsuccessfullydeliveringimpactfuldatascienceprojectsinafast-pacedenvironment
• Stronganalyticalandproblem-solvingskills