DATA SCIENCE - BUSINESS SOLUTIONS DEPARTMENT HEAD

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.

Responsibilities

Strategic 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 Masters 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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