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Business Analytics Manager, Vice President
Morgan Stanley
Purchase, NY, United States
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Description
Morgan Stanley is a leading global financial services firm providing a wide range of investment banking, securities, investment management and wealth management services. The Firm's employees serve clients worldwide including corporations, governments and individuals from more than 1,200 offices in 43 countries.
As a market leader, the talent and passion of our people is critical to our success. Together, we share a common set of values rooted in integrity, excellence and strong team ethic. Morgan Stanley can provide a superior foundation for building a professional career - a place for people to learn, to achieve and grow. A philosophy that balances personal lifestyles, perspectives and needs is an important part of our culture.
Team Overview
The Data Strategy & Information Delivery Group is part of the Wealth Management Analytics & Data (A&D) Organization at Morgan Stanley. The team’s responsibility is to support Wealth Managements strategic objectives through the use and exploitation of its data and analytical assets
Position Overview
The Business Analytics Management (BAM) is a team within the Analytics & Data group, responsible for interfacing between the various businesses and the delivery teams, for any data driven needs (e.g. ad-hoc requests, dashboards, advanced analytics, reports, data quality and governance issues, data process optimization, data acquisition etc).
As the leader of a team dedicated to providing Analytics services to the Private Banking organization, the individual will need to demonstrate expertise in the banking business area while managing the team to deliver upon agreed priorities and developing strong relationships with internal clients.
The role requires an individual with strong data and business analysis, relationship management, project management, presentation and communication skills, who is capable of multitasking and leading teams while collaborating with the internal analytics functional leads, as well as senior business partners.
Specific responsibilities include:
• Lead day to day liaison between internal Private Banking Group (PBG)
business, technology and data delivery partners
• Service the Private Banking business by providing them the tools, expertise,
and support for them to understand and analyze their own data
• Oversee documentation of business requirements from the banking business
that will set the basis for analytics solutions from data aggregation, modeling,
visualization, and data science teams
• Agree on delivery timelines with the banking business and leverage team
members, analytics functional areas, and technology to execute against
timelines
• Ensure quality of deliverables prior to delivery to the business areas by
overseeing review and signoff on end product
• Own the messaging and communication to the PBG business around existing
and new analytics book of work items
• Partner with PBG to define the analytics and data strategy for the business
needs
• Serve as the interface to technology on various issues
Qualifications
Required Skills:
• Bachelor’s degree with strong academic record
• 10 - 12 years post-college experience, at a financial services firm as a
business or data analyst/manager
• Proven track record of managing and leading teams to high performance
• Experience with leading initiatives or functions related to banking products
(e.g. lending and deposits) as well as banking promotional activities
• Detail-oriented individual with strong problem-solving and analytical skills
• Proven experience developing successful partnerships with both Technology
and Business stakeholders
• Strong listening skills and verbal/written communication with ability to tailor
message to audience
• Demonstrated leadership in setting strategy and driving agenda
• Strong attention to detail and the ability to handle multiple tasks and projects
concurrently
Desired Skills:
• Data Modeling Experience (SAS, Alpine, SPSS)
• Data Visualization Experience (Tableau, Qlikview, etc.)
• Experience with SQL