Executive Director, AI/ML Platform Management Team Lead at Morgan Stanley (Atlanta, GA)

| Atlanta, GA
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Headline: Executive Director, AI/ML Platform Management Team Lead. This role will be a part of the Analytics, Intelligence/Machine Learning, Digital Analytics & Visualization Organization within Analytics, Intelligence and Data Technology (AIDT) in Wealth Management Technology, and report directly to the Head of Analytics, Intelligence/Machine Learning, Digital Analytics & Visualization.

Company Profile At Morgan Stanley, we advise, originate trade, manage and distribute capital for governments, institutions and individuals, and always do so with a standard of excellence. We are a leading global financial services firm that conducts its business through three principal business segments Institutional Securities, Wealth Management (WM), and Investment Management. The Firm's employees serve clients worldwide from more than 1,200 offices in 43 countries.

Our WM business is one of the largest in the world with more than $2 trillion in client assets, $73 billion in lending balances, and nearly 16,000 Financial Advisors in 600+ offices across the U.S. Our Financial Advisors focus on delivering timely, customized solutions and services that help clients meet their financial and life goals. Our offering includes brokerage and investment advisory services, financial and wealth planning, access to credit and lending, cash management, annuities and insurance, and retirement services.

The acquisition of E*TRADE in 2020 expanded the value proposition to clients who preferred a self-directed trading and investment solution and added younger, high-potential and digital-savvy clients in the customer mix. In addition, it bought together two of the largest workplace and stock plan solutions and created an opportunity to provide value to our stock plan participants with Wealth Management and Banking products and services. This has created a rich and robust dataset of clients which is a competitive advantage and combined with advanced decision sciences allows us to deliver value across a full-service relationship to our clients 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. Department Profile: Analytics, Intelligence and Data Technology (AIDT) is a horizontal, dynamic and fast-paced area within the Firm's WM Technology Division. We are integral to all the strategic initiatives within Wealth Management, including key integration efforts with E*TRADE and Shareworks, driving Net New Assets into the Firm, journey to the public cloud and bleeding edge MarTech initiatives. The AI/ML Digital Analytics & Viz team is responsible for the data platforms that enhance Financial Advisor and Client engagement experience with improved scoring as well as the modeling and

algorithms which drive NBA (Next Best Action) and facilitates business network security and fraud protection.

Role Profile: The role is an Executive Director position within the AI/ML Digital Analytics & Viz team in New York, USA, with the focus on designing and implementing solutions for enabling and advancing our Analytics & Data journey from on-premise to the public cloud. Leading a team located in US and India, this leader also partners with business and technology leaders across Wealth Management in areas of cloud strategy, planning, solution development and integration, data migration & transformation, infrastructure and platform management services.

Responsibilities:
• Build, migrate and test Analytics Data on Snowflake with Azure Cloud Platform environment and integrations with on-premise data sources and application
• Lead and work with various teams in architecture reviews, designs of complex IAAS, PaaS and SaaS, and on-premise data ingest, governance, storage, management services and analytic solutions.
• Collaborate with WM-Technology partners to define the Azure/Snowflake standards, management, monitoring and support practices.
• Thought leadership to drive transformations leveraging emerging technologies and processes, data & systems migrations.
• Lead on technology projects and ensure adherence to Agile and DevOps methodologies and practice
• Lead develop and mentor team members.
• Stakeholder engagement to effectively maintain alignment across enterprise and multi-cloud strategies at-play within Morgan Stanley

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Qualifications:

Qualification
• Minimum bachelor's degree in Computer Engineering or Management Information Systems or related discipline
• 10 or more years' experience with Cloud platform implementations, migrations, upgrade
• Experience working with Azure cloud environment and large-scale migrations to Azure
• Ability to design secure, scalable cloud ecosystems to support data warehousing, data lake, data pipeline & integration, analytics, machine learning and data visualization
• Additional technical experience: DataIKU, Spark, Python, Databrick
• Experience leading an Agile organization and effectively maintaining alignment of business & technology prioritie
• Excellent analytical, communication, collaboration, and negotiations skill
• Vendor selection, negotiation and management
• Azure certification

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More Information on Morgan Stanley
Morgan Stanley operates in the Financial Services industry. The company is located in Rochester, NY, New York, NY, Purchase, NY, Conshohocken, PA, Baltimore, MD, Richmond, VA, Westlake, OH, Beavercreek, OH, Tampa, FL, Kansas City, MO, Omaha, NE, New York, NY, San Francisco, CA and San Francisco, CA. Morgan Stanley was founded in 2022. It has 87899 total employees. It offers perks and benefits such as Flexible Spending Account (FSA), Disability Insurance, Dental Benefits, Vision Benefits, Health Insurance Benefits and Life Insurance. To see all 359 open jobs at Morgan Stanley, click here.
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