Read Executive Bio
Anna E. Molosky has a proven track record of successfully driving digital transformations and growing revenue by creating and executing long-term strategic visions and overseeing the end-to-end commercialization of product portfolios. With nearly 15 years of experience, she is an unparalleled cross-functional strategic product management and growth leader who uncovers lucrative new market opportunities and monetizes unmet customer needs by leveraging cutting-edge technologies, including Artificial Intelligence (AI), Machine Learning (ML), and Generative Algorithms. Anna is a results-driven and forward-thinking senior leader with extensive experience building credibility with globally dispersed teams to achieve substantial organization-wide goals efficiently.
At Amazon Web Services, Anna has thus far driven significant recurring revenue growth, surpassing $620mm by building and monetizing new digital product suites. Simultaneously, she manages high-profile government contracts with a total value of $55Bn over 10 years. Throughout Anna’s storied career, she has consistently leveraged her global professional network to build high-performance multinational teams. A superior written and verbal communicator, Anna effortlessly secures C-suite buy-in and funding for her innovative solutions. Her inclusive, hands-on leadership inspires and motivates her teams to deliver hyperscale digital initiatives ahead of schedule and under budget. She has a proven record of turning product vision into profit by building scalable digital solutions for the most complex organizational challenges in high-visibility roles, expertly navigating ambiguity in fast-paced environments.
Anna holds a Graduate Certificate in AI Product Innovation from Duke University’s Pratt School of Engineering and a Bachelor of Science Degree in Information Systems from Carnegie Mellon University. As a thought leader, she is a LinkedIn Top Voice in three areas: Artificial Intelligence (AI), Product Strategy, and Product Management, a designation awarded to the top 1% of authors among 1.3mm contributors (and growing).
Products + Results
Selected Products
Goldman Sachs Marquee Investment Platform
Marquee is an integrated suite of products and services to support the end-to-end entire investment lifecycle. It is Goldman Sachs’ digital marketplace for institutional investors, delivering unparalleled, cross-asset access to global markets and portfolio analytics tools that empower investors to optimize their cross-asset portfolios for maximum returns.
Visit Product WebsiteVenn by Two Sigma Investments Platform
Venn applies Two Sigma’s expertise in research, data science, and technology to modernize the analytics experience and help institutional investors embrace a quantitative approach to multi-asset portfolio risk and investment decision-making.
Visit Product WebsiteJuniper Mist AI
Mist AI uses a combination of artificial intelligence, machine learning, and data science techniques to optimize user experiences and simplify operations across the wireless access, wired access, and SD-WAN domains. With Mist AI, operators save time and money with faster problem resolution and fewer onsite visits. Users benefit from a network infrastructure that is more predictable, reliable, and measurable.
Visit Product WebsiteGoldman Sachs Marquee Credit & Carbon Analytics
Marquee’s Credit Ecosystem empowers institutional credit investors to 1) customize their trades and construct their portfolio with a suite of pre-trade analytics, 2) create custom credit basket products, 3) unlock credit-focused market insights, commentary, and dashboards from across Goldman Sachs, and 4) test and purchase credit datasets.
Visit Product WebsiteRESULTS
Revenue Growth
Strategic Business Creation & Expansion
Go-to-Market Efficiency
Digital Transformation
Product Pricing Strategy
User Acquisition & Conversion
SELECTED CLIENT RELATIONSHIPS
Education + Certifications
Education
Bachelor of Science
Computer Information Systems
U.S. News and World Report Rankings
#1 Information Systems Program Worldwide
#1 Quantitative Analysis Program Worldwide
Master of Science
Human-Computer Interaction (Coursework) – School of Computer Science
Graduate Certificate
AI for Product Innovation
Professional Certifications
Microsoft Certified: Azure Solutions Architect Expert
Issued by: Microsoft
Credential ID: F45EB41120DEC87F
AWS Certified AI Practitioner (Early Adopter)
Issued by: Amazon Web Services
Credential ID: 97f52125de8d4112bee801cbd1d21caf
Microsoft Certified: Azure Administrator
Issued by: Microsoft
Credential ID: D713121EEAAF2B0C
Microsoft Certified: Azure Fundamentals
Issued by: Microsoft
Credential ID: CCEA7B10FB32F415
Cloud Digital Leader Certification
Issued by: Google Cloud
Credential ID: c0c42b923bf24f2887270f4589164e82
Microsoft Certified: Azure AI Engineer Associate
Issued by: Microsoft
Certification number: 3C4306-30CF81
Registered General Securities Representative
Issued by: The Financial Industry Regulatory Authority (FINRA)
Credential ID: CRD#: 6835514
Series 7TO – General Securities Representative Examination
Series 63 – Uniform Securities Agent State Law Examination
Series 7 SIE – Securities Industry Essentials Examination
AWS Certified Cloud Practitioner
Issued by: Amazon Web Services (AWS)
Credential ID: 258G2VFDNBEE1SGP
Expertise
Executive Management
- Revenue Generation and Growth
- Business Strategy & Expansion
- Cross-functional Team Building
- Global P&L Optimization
- Product Portfolio Management
- Return on Investment (ROI) Maximization
- Data-Driven Decision Making
- Go-to-Market (GTM) Strategy
- Digital Product Leadership
- Multinational Team Leadership
- Pricing Strategy
- Organizational Change Management
- Product Innovation & Development
- New Market Identification & Analysis
- Business Process Design
- Strategic Planning
- Continuous Process Improvement
- Customer Relationship Management (CRM)
- Stakeholder Management
- Product Roadmapping
- Market Research & Insights
- Competitive Analysis
- Financial Trend Forecasting
Technical Leadership
- Artificial Intelligence
- Machine Learning
- Cloud Computing
- End-to-End Software Lifecycle Management
- Application Programming Interfaces (APIs)
- Generative Algorithms
- Big Data Analytics
- Enterprise Applications
- End-to-End Software Lifecycle Management
- Agile Methodologies
- Key Performance Indicators (KPIs)
- Metrics & Analytics
- Digital Transformation
- Virtualization
- User Study Design
- User Behavior Analysis
- Continuous Integration/Deployment
- Digital Workflow Automation