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The Principal Data Analytics & Intelligence Specialist- Private Banking will be responsible for leading and guiding complex data management projects. This role involves developing advanced data strategies, ensuring data quality, and mentoring junior team members. This role will partner closely with Private Bank (PB) business teams, Wealth data teams, data engineering, and analytics teams to integrate data, derive insights, and enable intelligent decision-making. This specialist will play a critical role in deployment of the PB analytics strategy, leveraging modern technologies to power personalized insights, operational intelligence, and predictive capabilities.
Job Responsibility:
Leading and guiding complex data management projects
Developing advanced data strategies
Ensuring data quality
Mentoring junior team members
Partnering with Private Bank (PB) business teams, Wealth data teams, data engineering, and analytics teams to integrate data, derive insights, and enable intelligent decision-making
Deployment of the PB analytics strategy
Leveraging modern technologies to power personalized insights, operational intelligence, and predictive capabilities
Become the go-to SME on PB products and offerings
Understand data flows across PB, Wealth, and Commercial
Define critical product and transactional data attributes
Partner with business and analytics teams to define insights and intelligence needs
Work with analytics teams to design dashboards, KPIs, and predictive models
Collaborate with AI specialists to enable agentic AI capabilities
Define data quality expectations and partner on validation processes
Work with data engineering to ensure PB data is accurately ingested, transformed, and unified
Partner with the Wealth data team to align product, client, and household views
Actively engage with enterprise AI, analytics, and digital experience teams to enable PB-led innovation
Requirements:
8+ years of experience in Private / Consumer Banking, Commercial Banking, data and analytics
High level understanding of PB deposits, loans, and lending products
Experience translating business needs into analytical requirements and insight-driven solutions
Hands-on experience with data analysis tools (SQL, Python, R, Tableau, Power BI, etc.)
Familiarity with agentic AI concepts and its application to client intelligence and personalization
Strong stakeholder engagement skills
able to work across PB business, engineering, analytics, and enterprise teams
Bachelor's degree in Data Analytics, Computer Science, or a similar technical field
Nice to have:
Knowledge of core banking systems, loan origination platforms, and enterprise data platforms
Understanding of PB client segmentation, relationship-tiering, and cross-business interactions
Experience with AI/ML analytics pipelines and agent-based intelligence frameworks
What we offer:
Opportunity to earn an annual discretionary bonus
Competitive pay
Comprehensive medical, dental and vision coverage
Retirement benefits
Maternity/paternity leave
Flexible work arrangements
Education reimbursement
Wellness programs
Paid time off policy exceeds mandatory requirements