About​

Aaron Wise, MBA, MSIA​

Dynamic technology executive with a strong track record of leveraging advanced technologies, automation, and strategic planning to address complex business challenges and drive organizational growth. Known for leading successful platform transformations and modernization initiatives, I excel at fostering collaboration, breaking down silos, and building high-performing technical teams. My leadership style emphasizes innovation and best practices in management, resulting in scalable information architectures and secure, AI-powered platforms. As a curious engineer with a keen eye on industry trends, I thrive at the intersection of business and technology, supporting start-ups, scale-ups, and established companies alike.

Enterprise Technology Strategy
Platform and Product Development
Modernization and Transformation
Platform, Data, Application Security
Security and Information Architecture
Team Building and Performance
Executive Leadership
Start-Ups and Scale-Ups
Organizational Change Management
Data Engineering, Pipelines, AI/ML

BlackCloak | Orlando, FL (remote)   

Cybersecurity platform offering bespoke, privacy-first solutions for enterprises and high-net-worth individuals.  

Chief Technology Officer

Vice President of Engineering

2022 – Oct 2024

2021 – 2022

Drive technical vision, product strategy, and innovation as part of the Executive Leadership Team, leading the engineering org through a platform transformation that led to a successful Series A capital raise and a current Series B round.

  • Conceptualize and execute a comprehensive business technology strategy, blending innovation with business acumen to drive the success of a $2M product development, platform architecture, and engineering organization.
    • Created and communicated product and technical road maps to internal and external stakeholders, leveraging data, customer discovery, and user feedback to progress value recognition and business outcomes.
    • Introduced MACH architecture for faster response to the evolving business needs associated with rapid scaling.
    • Bolstered responsiveness by 50% via transition to distributed cloud infrastructure and containerized services.
    • Strategized and created a research and development function to maximize investment and product evolution through rapid prototyping and trends-based development that positioned the platform ahead of the curve.
  • Establish and expand a geographically dispersed, multicultural, integrated product and engineering organization, doubling the team and introducing a leadership layer to enhance capacity and operational efficiency.
    • Grew product and engineering teams from four to 15 with the projection to scale to 25 in 2024 and 45 in 2025. 
    • Enhanced team capabilities by creating dedicated product, QA, UI, UX, DevOps, and data engineering roles. 
    • Led org-wide shift to Agile, introducing best practices and internal tools to enable growth from 12 to ~50 staff.
  • Recalibrated the tech stack, introducing telemetry, software supply chain security, and observability to strengthen the security, field serviceability, and mobile and desktop performance.
    • Championed a privacy-first, secure-by-design approach to protect user data and enhance security posture.
    • Centralized data platforms and created data governance protocol to support scalable AI and ML pipelines.
    • Reduced app store dependency by 60% via configuration-based architecture patterns and OTA updates that simultaneously reduced business risk associated with excessive vendor and app store reviews.
  • Enhanced operational efficiency and reduced cost by consolidating internal tooling platforms and automating processes, decreasing manual toil and alleviating redundancies across product and engineering teams.
    • Evaluated and implemented hyper-automation patterns and practices to optimize business processes while leveraging  AI and ML models, automation, and process discovery to elevate the user experience. 
    • Partnered with engineering management to evaluate and introduce AI-augmented development and QA process.

ZeroNorth | Boston, MA   

B2B security orchestration platform revolutionizing security integration and data security for enterprise build pipelines.  

Vice President of Engineering

2019 – 2021

Advanced from a technical individual contributor into a sales and engineering-focused executive role driving software and data innovations, team restructuring, and transformative growth to position the company for acquisition by Hardness.io.

  • Restructured and energized engineering teams by implementing Agile methodologies and establishing a two-team sprint structure that improved feature delivery and created a transparent SDLC process.
    • Cut technical debt and reduced AWS spending by 25%. 
    • Developed technical roadmaps to boost cycle times and drive cohesion across IT, InfoSec, Engineering, and QA.

Director of Engineering

2018 – 2019

  • Spearheaded the growth of the engineering team from 4 to 20 staff to increase capacity and lay the foundation for product scaling and long-term platform growth.
    • Instituted a formal mentoring framework to accelerate individual development and streamline onboarding. 
    • Partnered with sales and customer success teams to facilitate PoC, due diligence, and architectural reviews.

Principal Software/Data Engineer

2017 – 2018

  • Drove the development of Python and NodeJS-based data engineering solutions while liaising with executive leadership to provide status updates and actionable insights based on real-time data analysis and reporting.
    • Designed and implemented 50% of the platform’s DAST and SAST security tooling automation. 
    • Built vital security integrations such as data normalization, ingestion, containerized ZAP, and CI/CD pipelines. 
    • Integrated data normalization and ingestion using Python and NodeJS.

Grantham, Mayo, Van Otterloo (GMO) | Boston, MA   

U.S.-based financial asset management firm building and leveraging proprietary investment research data platforms.  

Technical Lead, Lead Developer

2013 – 2017

  • Led a ten-staff engineering team building novel methods to support ETL and data engineering processes for large bitemporal time series data streams used to inform investment decision-making for $150B in AUM.

Monster Worldwide (Monster.com) | Cambridge, MA   

Global online employment solution for people seeking jobs and employers looking for candidates.  

Senior Security Architect

2010 – 2012

  • Responsible for research and remediation of zero-day vulnerabilities. 
  • Designed and built core security functionality used by the entire engineering team. 
  • Performed secure code reviews and worked with QA and engineering to remediate findings.

Monster Worldwide (Monster.com) | Maynard, MA   

Global online employment solution for people seeking jobs and employers looking for candidates.  

Senior Database Engineer

2007 – 2010

  • Responsible for data modeling and engineering for new features at scale.
  • Process development and internal tool creation for source code reviews and zero downtime deployments.

Education

Boston College
Master of Business Administration (concentration in Finance, Machine Learning, Entrepreneurship)
Norwich UniversityMaster of Science, Information Assurance (MSIA)
University of Central FloridaBachelor of Science, Management Information Systems (MIS)

Technologies

  • Strategy
    • Mutually Exclusive Collectively Exhaustive (MECE)
    • Logic/Issue Trees
    • Porter’s Five Forces
    • Backcasting
    • SWOT
    • Stakeholder Alignment
    • Value Chain
    • Growth-Share Matrix
    • Investment Map
    • Technology Radar
  • Info & App Sec
    • Supply chain risk
    • Digital immune system
    • Security orchestration
    • API security testing
    • Static (SAST) and Dynamic (DAST) Security Testing
    • Open source software security
    • Software license management
  • Cloud & Platform Architecture
    • Volatility-based decomposition (VBD)
    • MACH (Microservices-Based, API-First, Cloud-Native, and Headless)
    • Poly cloud architecture
    • Distributed computing
    • Distributed tracing
    • Observability
    • Configuration-based design
    • High Availability (HA)

Database and Information Architecture:

  • Data program and platform design
  • Data governance
  • Data lakehouse
  • Artificial Intelligence (AI)
  • Machine Learning (ML)
  • Retrieval Augmented Generation (RAG)
  • Time series
  • Bitemporal database design
  • Data gravity
  • Data locality
  • Data pipelines
  • Workload analysis

Courses

  • AI Product Management Specialization – Duke University
  • Data-Driven Decision Making (DDDM) – State University of NY
  • Ethereum Dev Bootcamp – Alchemy University
  • Learn Solidity – Alchemy University
  • Harvard Alumni Entrepreneurs – Web3 Bootcamp

Thought Leadership

  • U.S. Patent 11783051 – Normalization, compression, and correlation of vulnerabilities

Industries

  • Security
  • Finance/Quantitative/Institutional Investments
  • Big Tech
  • Biotech
  • FinTech