Danny Lam

About Danny Lam

Being a results-driven, highly qualified, and resourceful professional, I have developed prominent career leading and training onshore/offshore teams around the world to provide leadership in innovating and delivering complex technical projects on time, within budget, and to client satisfaction in high-pressure environments. Most recently this includes projects involving Big Data, Data Science, Media Sales, DevOps, MLOps, and Cloud-based technologies.I have significant success overseeing software development life cycle (SDLC) from requirement phase through design, testing, and deployment while adhering to an Agile framework (ie: Scrum/Kanban/Scrumban/etc).What makes me stand out are my solid skills in optimizing agile development processes and supporting teams to deliver high-quality products for business. This includes my extensive abilities in presenting to diverse audiences with results backed by data.Stakeholders, senior management, vendors, quality assurance (QA), software developers, technical leads, and business clients recognize me for my excellent communication, interpersonal, critical thinking, and problem-solving skills with ability to build robust relationships.Technical Proficiencies:* Jira Cloud Admin /Confluence Cloud Admin | Microsoft 365 | AirTable* AWS (including Redshift/Glue/Cognito)| MS Azure | Snowflake (Fivetran/Coalesce)| DataBricks | Acquia Cloud * Tableau/ Microsoft PowerBI/ QuickSight | Salesforce | Adobe Experience Platform ( AJO, CJA)| Marketo | Zendesk*.NET, ASP.NET MVC, C#/C++/C, Java, PHP, SQL, Python, Drupal, Canvas, JavaScript, JQuery, Apache Solr, Google Analytics* CI/CD: AWS CodePipeline/CodeDeploy, Jenkins, CircleCI, Microsoft Team Foundation Server (TFS)* Process Methodologies: Agile Scrum, Kanban, Scrumban, SAFe, Waterfall, XP* AI & Machine Learning - Machine Learning (ML), Natural Language Processing (NLP), Predictive Analytics, Data Visualization, Model Performance, AI Ethics, Google Gemini, IBM Watsonx

Experience

1. Product Manager

   Accurise Consulting

   Jan 2026 — Present · New York, NY, US

   Collaborated with team/stakeholders to establish a ground-up Agile Scrum methodology (Sprint Planning, Backlog Grooming and other related scope meetings) for the organization - refining workflows to improve velocity over consecutive sprints.• Leveraged AI tools (Claude Code, Google Gemini) to generate measurable sprint tickets, high-fidelity mock designs, and comprehensive project documentation - significantly accelerating team productivity.• Authored the inaugural Syncify Help Document Index, detailing core platform features and workflows to support end-user adoption.

Education

• Carnegie Mellon University

  Bachelor's degree, Chemistry

• Carnegie Mellon University

  Bachelors, Computer Science