The Vice President, Client Engagement Marketing Analytics will work with data in a hands-on capacity to provide analytics, insights, and business intelligence to power client engagement and drive digital marketing, cross sell, and client incentive strategy
Job Summary
The Vice President, Client Engagement Marketing Analytics will work with data in a hands-on capacity to provide analytics, insights, and business intelligence to power client engagement and drive digital marketing, cross sell, and client incentive strategy.
The ideal candidate will be a strategic thought leader with deep expertise in using data in a hands-on capacity to provide analytics, insights, and business intelligence to power client engagement and drive cross-sell strategy across various Sales and Marketing channels.
Morgan Stanley offers a full spectrum of benefits, including Medical, Prescription Drug, Dental, Vision, Health Savings Account, Dependent Day Care Savings Account, Life Insurance, Disability and Other Insurance Plans, Paid Time Off (including Sick Leave consistent with state and local law, Parental Leave and 20 Vacation Days annually), 10 Paid Holidays, 401(k), and Short/Long Term Disability, in addition to other special perks reserved for our employees.
Matching Summary
The Vice President, Client Engagement Marketing Analytics will work with data in a hands-on capacity to provide analytics, insights, and business intelligence to power client engagement and drive digital marketing, cross sell, and client incentive strategy.
Salary
Base: 110,000 - 190,000 Yr; Bonus/Equity: Eligible for annual discretionary incentive compensation award and business unit incentive compensation plan; Benefits: Full spectrum of benefits including Medical, Dental, Vision, 401(k), Paid Time Off, etc.
Skills & Requirements
Must-have
SQL
Python
Hands-on data analytics
Business intelligence
Data visualization tools
Client incentives/promotions analytics
Marketing campaigns analytics
Nice-to-have
Strategic thought leader
AI and automation-first mindset
Develop talent and scale support
Curiosity about data
Collaborative and transparent style
Key Requirements
Bachelors degree in science/engineering/mathematics/statistics
Minimum of 7 years of experience in Data & Analytics