Jul 2025 – Sep 2025 · 2 mos · Menlo Park, California, United States

• I’ve joined Carnegie Mellon As an Adjunct professor teaching Human-Centered Design for enterprise-grade AI systems and applications

May 2025 – Present · 1 yr · United States

Mar 2025 – Present · 1 yr 2 mos

• Strategic advisor for Deloitte’s CDAO Program and Tech, AI & Data Strategy practice. In this advisor role, I leverage deep data & AI experience to provide outside-in perspectives to equip executive leaders with the knowledge and strategies needed to lead in the era of AI and data-driven innovation.

Jul 2024 – Jun 2025 · 11 mos · New York City Metropolitan Area

• I lead a specialized team of solution architects who partners with the most innovative startups to tackle their toughest technical and GTM challenges. With 133,000 startups within the portfolio, my team and I help transform bold ideas into scalable realities.
• My role as a leader is to bridge emerging technology with entrepreneurial ambition. Working directly with startup leadership teams (CEOs, CTOs, and CPOs), I oversee architectural solutions across multiple cutting-edge domains including generative AI, machine learning, data and analytics, cloud compute, and more.
• Key aspects of my role include:
• Building and leading a high-performing team of solution architects who specialize in a variety of technical challenges
• Developing strategy frameworks that help startups scale efficiently
• Collaborating with startup leadership to align technology decisions with business objectives
• Driving adoption of emerging technologies while ensuring sustainable, cost-effective implementations.
• What energizes me most is helping startups move fast without breaking things. Whether it's architecting a fintech platform's first major scale-up or helping a healthcare startup navigate complex compliance requirements while implementing AI solutions, we deliver expertise that matches the speed and ambition of our startup partners.
• My focus is turning technical excellence into business success, helping the next generation of tech companies who are GenAI native, AI/ML native, ISV's, FinTech, PropTech, HCLS, AdTech, etc succeed.

Jan 2021 – May 2023 · 2 yrs 4 mos

May 2020 – Feb 2021 · 9 mos

Sep 2018 – Aug 2020 · 1 yr 11 mos · Greater New York City Area

• Sol was responsible for establishing the vision, objectives, and goals for Sony Music’s data, analytics and digital innovation globally and re-defining what “great” looks like. Serving as a champion and change agent, Sol worked closely with Music Label Presidents, CXO’s, Marketing Teams, and leaders in Tokyo to lead and drive the technology and data transformation taking place at Sony Music. Sol’s group had the responsibility of: Developing Digital & Data Apps and Products, Product Design, UI/UX, Data Science, CRM (Salesforce), Marketing Cloud, Marketing Analytics, establishing a hybrid Cloud-Infrastructure, AI/ML, Compliance, and Data Governance.
• Sol was also responsible for building a narrative for her company to help the industry embrace a data and analytics mindset in order to connect with fans, amplify current operations, and not be threatened by the digital mindset; using her skills in story-telling and creating an approachable narrative, Sol helped Sony Music build best-in-class Data Apps & Products using agile methodologies that connect artists, fans, and labels, with the objectives of driving fan engagement, driving new revenue sources, automating manual processes, and further developing a brand in the marketplace for being innovative and tech centric.
• Areas of Scope:
• o End-to-end responsibility for developing Digital & Data Apps (Mobile and Web-Based) for the artists, labels, and corporate functions for 'high-touch' business intelligence
• o Designed and developed Sony’s 2nd Global Data Lake environment (using AWS, DataBricks, Snowflake, Big Table, and Delta Lake as the core tech stack) to power all apps, analytics, and data science activities
• o Collaborated with Tokyo’s Machine Learning Labs for cutting edge applications of AI/ML
• o Designed and developed an automated Marketing Analytics platform for labels to leverage to measure campaign effectiveness that displayed, pre/post campaign analysis, consumer engagement rates (CPC, CPV, etc), and more

Jan 2015 – Jan 2018 · 3 yrs · Miami/Fort Lauderdale Area

• While the company was data rich, Sol's focus was to help the company be data driven with best in class digital, data, and AI capabilities and product delivery .
• While helping develop the digital products and creating IP that leverages the latest advancements in Big Data, Advanced Analytics, AI/Machine Learning, Agile Project Delivery, Platforms & Maintenance/Support, Sol's team also created Royal's first Data Lake environment (using the Azure core stack) and laid the foundation for a sound Enterprise Data practice, including but not limited to MDM, Data Governance & Architecture, and building a multi-vendor cloud based Data Ecosystem using the latest tech stacks and data architecture. Sol's purpose in tackling both is to enhance the customer experience at every touchpoint, reducing friction wherever possible, making every engagement count, and modernizing Royal's digital landscape to build brand equity and be known for innovation in the market place.
• Sol's speciality is finding the right balance between fixing problems and creating innovative capabilities.

Dec 2014 – Dec 2016 · 2 yrs · Northeast

• Sol operated as the Interim Chief Data Officer for Royal Caribbean Cruise Lines, helping the company develop the vision, strategy, and execution plan for their Advanced Analytics, Artificial Intelligence, Enterprise Information Management, BI, MDM, Data Governance & Security, Cloud Data Lake, Data Appliances practices.
• Before becoming the interim CDO for RCCL, Sol worked closely with CEO's and CIO's who engaged EY’s Advisory Practice to help develop their transformational programs that enabled innovation, scale, and embracing the disruptors in the market place using AI and Data & Analytics as foundational pillars. This included building strategies and roadmaps in the Artificial Intelligence (A.I.), Information Technology (IT), and the Information Management (IM) space. Sectors covered: FinTech, Healthcare, Pharma, Travel & Hospitality, Electronics, Retail, and Supply Chain
• Sol bridges the gap between Business and IT and has a unique approach in bringing together people, processes, and technology to cultivate environments that are innovative, data driven, and collaborative.
• Goal oriented and a team player, Sol believes in building harmony within today’s competitive landscape and generational movement.
• Sol is also an advocate and has helped advance the Diversity & Inclusive initiative on many fronts by being an active leader in WIT (Women in Technology) and Analytics PWN (Analytics Professional Women's Network).

Apr 2011 – Dec 2014 · 3 yrs 8 mos

• Responsible for taking IBM’s “Watson” technology offering to market and establishing a point of view, framework, and solution to operationalize the Enterprise AI Platform within organizations wanting to use emerging technologies as a competitive advantage.
• Sectors covered: FinTech, Healthcare, Pharma, CPG, and more...

Oct 2008 – Dec 2011 · 3 yrs 2 mos

• Established, led, and operationalized the Enterprise Information Management (EIM) practice for IBM’s GBS division. Emphasis was on creating a vision, establishing a technology roadmap, and delivering for the clients we served. The team designed and re-engineered repeatable and scalable processes and procedures, established 'Playbooks', ‘Toolkits’, and the narrative on why technology mattered.
• We also helped organizations align their silo’d groups and resources in order to build cohesiveness across Business Development, Strategy, Technology, Project Management, and Delivery Excellence functions.

Feb 2006 – Nov 2008 · 2 yrs 9 mos · California, United States · On-site

• · Developed the framework and operations for the Sales & Business Development team, helped the company develop the sales roadmap, talent planning, prioritized initiatives, and pipeline development
• · The practice generated $11.5MM of new revenue in 2 years
• · Developed and scaled the resource capacity planning program by 37%
• · Lead and managed two key accounts that generated $7.2MM of revenue over the course of 2 years

May 2003 – Jan 2006 · 2 yrs 8 mos · California, United States · On-site

• · Managed team leads and offshore resources to deliver tech-based & engineering projects from project definition to implementation; phases include scope, design, development, and deployment
• · Created a customized tech stack for the LADOT (Los Angeles Department Of Transportation) that increased revenue 22% by 2nd quarter after launch and managed operational and communication efforts for 7 client, 8 internal departments, and 124 staff members