David Messineo Email & Phone Number

Wellsboro, PA, US

Wellsboro, PA, US

Adelaide, SA, AU

Atlanta, GA, US

• Key Accomplishments:✓ Developing a streamlined approach for M&A-focused outcomes by leveraging Data Engineering, AI, and Human-Centered Creativity, resulting in enhanced decision-making and improved acquisition.
• Design and implement an intelligent data curation strategy to effectively evaluate potential acquisition candidates, enabling informed investment decisions and risk mitigation.
• Collaborate with management to identify and develop strategic use cases that drive portfolio diversity and growth, ensuring alignment with organizational objectives and market opportunities.

Somers, Connecticut, US

• Key Accomplishments:✓ Spearheaded Industry 4.0 transformation strategy, aligning product vision with client capabilities. Drove adoption of cutting-edge tech and cloud platforms, integrating business processes for.
• Investor Plan Development and Execution: Develop and implement strategies that align the company's vision with its capabilities, focusing on Industry 4.0 transformations.
• Technology Adoption Leadership: Identify, adopt, and integrate cutting-edge technologies and cloud platforms into the company's product line.
• Strategic Relationship Management: Establish, revitalize, and maintain productive relationships with external partners, industry leaders, and stakeholders to drive innovation and adherence to best practices.

New York, NY, US

• Adjunct professor responsible for delivering capstone projects for management level graduate degrees in business analysis, agile practices, advanced analytics, generative AI, storytelling and data science. Industry.
• Interdisciplinary approach integrating AI, data analytics, information engineering, and management theories, has propelled students to significant career achievements in Decision Science.
• Blending theoretical insights with practical applications has significantly advanced the careers of students, contributing to the dynamic growth of Decision Science.
• Many previous students have risen to senior roles in major corporations across various departments. Key Responsibilities:
• Facilitated the translation of complex business challenges into actionable outcomes, leveraging management acumen and advanced analytics to cultivate decision-support skills and managerial insight.
• Cultivated Emotional Intelligence (EQ) through Design Thinking, enabling students to build influence across stakeholders and garner support for actions using decision-ready dashboards.

Stamford, CT, US

• Accomplishments:✓ Spearheaded over innovative data science and engineering projects integrating AWS, JupyterHub, Python, and IoT, enhancing cross-functional collaboration.✓ Launched the Fusion platform successfully.
• Program manager for 120+ staff organization focus on digital transformation initiatives, enhancing supply chain, logistics, sales, marketing automation, quality tracking, and self-service support processes, including.
• Managed financial planning and expense tracking for staff resourcing, licensing, and infrastructure investments, ensuring optimal use of resources.
• Executed strategic plans aligning with corporate goals, enhancing customer experience, employee engagement and operational productivity.
• Oversaw projects incorporating AWS, JupyterHub, Python, and emerging technologies such as IoT, generative AI, deep learning and graph science.
• Adopted agile, CRISP-DM, and Design Thinking methodologies to streamline project execution and stakeholder satisfaction.

Stamford, CT, US

Stamford, CT, US

• Senior Solutions Architect and Product Owner of Big Data Analytics and Data Science platform empowering Data Scientists to rapidly identify, investigate, develop and deploy analytics solutions using modern Business.
• Product Owner responsibilities including strategy, roadmap, and backlog management for Fusion Data Lake and Data Portal
• Senior Program Management responsibilities managing 3 scrum teams directly and 3 teams – 50+ people indirectly using Agile methods (Scrum / Kanban)
• Development and managment of Data Science community and socialization venues like Yammer, monthly meetings and quarterly summits
• Process architect for design and delivery of products, methodologies (maturity models), certification (training) paths, deployment practices, and dashboards for Data Science related initiatives
• Writing weekly blogs on Data Science practices, practitioner tips, best practice and use cases

In my five-year tenure as a Director on the Board of Education, I held significant roles including Vice President and Chairperson for Policies, Programs, and Curriculum, contributing to the strategic evolution of our educational framework. I Co-Chaired the Budget Committee, managing a robust $30 million budget and a dedicated team of over 200 staff.

San Jose, California, US

• Managed Executive Playbook product, supporting P&L for business cases, formulating product strategies and roadmaps, interviewing key customers, validating use cases and documenting features, overseeing backlog, five.
• Lead for analytic use cases, KPI Integration, and decision-maker content development
• Drove mobile UX design requirements and interaction for management visualization tool
• Interviewed several leading CA customers to identify 11 critical use cases for analytics
• Effectively managed the requirements and commitments for 5 scrum teams
• Created persona based requirements particularly those of power-users, decision-makers, and executives

San Jose, California, US

• The Council for Technical Excellence is very small, highly-selective community whose members are voted in by the top technical and business leaders in the company based on a proven ability to innovate and stimulate.
• Contributed to several CA Agile Process practices introducing the concept of the Quad – where Pre-Sales, Engineering, Architecture, Product Mgmt, and UX work to incrementally review and update backlog
• Primary co-lead for CA SaaSification in CTE where I lead sessions on how to apply SaaS model to products across the enterprise and its impacts to the CA's business model, technology stack, subscription licensing, and.
• A lead contributor to TechScan -- a proprietary wiki-like database that maintained information of emerging technologies and how they impacted product lines, customer opportunities, and CA's technology portfolio.

San Jose, California, US

• Managed Business Service Insight product (as Product Owner), documenting key requirements involving APM, PPM, Cloud SMI, eTOM, ITIL compliance, and vendor management. Key Accomplishments:✓ Extended Solution Portfolio.
• Built out MRD for 2 releases of Business Service Insight (i.e. Performance Management)
• Presented product vision, architecture, and customer outcomes (results) at sales events
• Created architecture and related functionality requirements that tied Strategy, Investments, Operational Performance, and Business Outcomes in a unified picture
• Introduced integrated solutions combining IT Service Management, IT Vendor Management, Project and Portfoio Managment, and Application Portfolio Rationalization.
• Applied analytics capabilities to create solutions to benchmark IT performance over time across business, operational, financial and performance perspectives

San Jose, California, US

• P&L, creation of service offerings and market positioning; development of delivery methods, standardized artifacts and ROI calculators; oversight for all ITSM, IT Catalog and Enterprise Data Integration solutions. Key.
• Maintained P&L for Service Management Business
• Lead several major ITSM projects and mitigated high-impact delivery issues
• Created process and deployment methodologies, and built comprehensive assessments
• Created Service Offerings, ROI Calculators, RFP Content Library, RFP Responses
• Participated in a three merger and acquisition assessments to identify financial / resource estimates

• CTB Mc-Graw Hill acquired Bookette Software in 20012Managed a team of Ph.D. scientists on building out several industry leading algorithms using artificial intelligence, data / text mining, and statistical analysis to.
• Building overall product research plan, identifying high-level requirements, creating project milestones and tasks, and assigning to research staff
• Evaluating various analytical and machine learning options to decide which to leverage and how their results would be evaluated
• Using various machine learning tools to automate the analysis of data and identifying patterns used for profiling work samples
• Presenting overall approach to research and development, and summarizing results to senior management for purposes of accessing achievement of expected benefits and securing funding for future research sprintsThe.