Bank of the Philippine Islands (BPI)

DATA SCIENCE - BUSINESS SOLUTIONS DEPARTMENT HEAD

Posted: 2 days ago

Job Description

Leads the Business Solutions department in managing the delivery of analytics models and studies across the bank, while discovering high-value analytical opportunities, translating complex business requirements into feasible data science solutions, and driving strategic partnerships that promote data-driven decision making. Oversee collaboration with Analytics Services, Model Operations, and AI Innovation departments to ensure successful project delivery.ResponsibilitiesStrategic Delivery Management Develops and executes department strategy for managing delivery of analytics models and studies across all business units Oversees end-to-end project delivery from business requirements through model deployment and value realization Ensures alignment between business needs and technical capabilities across Analytics Services and Model Operations teams Drives portfolio management and prioritization of analytical initiatives based on business impact and strategic value Cross-Departmental Collaboration Leadership Leads collaboration with Analytics Services department head for model development and study execution Coordinates with Model Operations department head for data acquisition, model deployment, and production operations Partners with AI Innovation department head when emerging technologies are required for business solutions Establishes governance frameworks for cross-departmental project delivery and resource allocation Strategic Business Partnership Builds and maintains strategic partnerships with key stakeholders to promote data-driven decisions Leads business case development ensuring alignment with bank priorities and strategic objectives Serves as primary liaison between Data Science division and senior business leadership for major initiatives Drives enterprise-wide adoption of analytical solutions and insights Solution Architecture & Design Oversight Oversees the design of end-to-end solution architectures integrated with existing bank systems Ensures complex requirements are translated into feasible solutions with clear success metrics and delivery timelines Drives innovation in analytical solution design and implementation approaches across departments Establishes technical standards and delivery methodologies for business-facing analytical solutions Team Leadership & Development Leads and develops Business Partnership and Business Advisory teams with focus on delivery excellence Fosters collaboration between internal teams and with other Data Science departments Drives talent development, succession planning, and capability building within the department Establishes performance metrics and accountability frameworks for delivery management Executive Communication & Stakeholder Management Creates and delivers executive communications showcasing analytical insights and business value from delivered projects Manages stakeholder expectations and ensure successful project communication throughout delivery lifecycle Leads steering committee meetings and project governance activities for major analytical initiatives Drives change management initiatives to support adoption of delivered analytical solutions Qualifications Must have a Master's degree in Business, Analytics, Engineering, or related field Must have at least 5 years of experience in analytics project delivery with at least years in leadership roles Must have experience in solution architecture, project management, and cross-functional team leadership Must have proven track record of delivering complex analytical projects in enterprise environments Must have strong business acumen and stakeholder management skills Must have experience managing relationships with senior executives and business leaders Preferably has experience in banking or financial services industry Preferably has Certification in project management (PMP, PgMP) or delivery frameworks Preferably has background in data science, machine learning, or advanced analytics Work Set-up: Hybrid (3x a week on-site; 2x a week work-from-home)

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