The senior builders behind the work.
Our leaders combine deep industry expertise with a builder's instinct. They guide strategy, design the systems, and stay close to the work, so clients deal directly with experienced practitioners, not a sales bench.
Experienced operators and engineers.
A team of practical builders, strategists, and delivery leaders whose priorities align with one thing: helping clients apply advanced data and AI to improve the quality of every decision.
Josh is the Founder and CEO of Blue Orange Digital, a leading data and AI services firm backed by Oliver Wyman. With over a decade of experience, he has built Blue Orange into a 150+ person team delivering enterprise-scale projects in data engineering, analytics, and generative AI for Fortune 500 companies, financial institutions, and healthcare organizations.
He works closely with executives and investment leaders to define strategies that harness AI and agentic systems for business impact, helping organizations move beyond experimentation into production-ready deployments that drive measurable outcomes. By aligning advanced AI with governance, scalability, and ROI, Josh ensures clients capture sustainable competitive advantage from their data and technology investments.
Previously, Josh founded and scaled two venture-backed SaaS companies, one acquired by Blackbaud and another by a private equity firm. In both, he led initiatives to monetize data assets, modernize infrastructure, and unlock enterprise value, experience he now applies to guide PE-backed portfolio companies and enterprise clients through AI-driven transformation.
Based in New York City, Josh is also an avid runner, golfer, and lifelong outdoors enthusiast, originally from Maine.
Colin brings over 16 years of experience designing and leading large-scale cloud data initiatives across both high-growth startups and global enterprises. His expertise spans end-to-end data architecture, modern data platforms, and advanced analytics, with a proven track record of building systems that scale with business needs.
Most recently, Colin led the development of enterprise-grade machine learning systems for a Fortune 100 bank, where he spearheaded initiatives in model deployment, governance, and real-time data processing to support mission-critical decisioning at scale. His leadership combined technical depth with cross-functional collaboration, aligning engineering teams, data scientists, and business stakeholders to deliver measurable business impact.
Earlier in his career, Colin held senior roles where he designed and implemented cloud-native data platforms, modernized legacy systems, and drove adoption of emerging technologies such as Databricks, Snowflake, and streaming architectures. He is especially skilled at translating complex data challenges into actionable solutions that balance scalability, performance, and cost efficiency.
With a passion for solving complex problems at the intersection of data engineering and machine learning, Colin continues to advise organizations on building resilient, forward-looking data ecosystems that unlock new opportunities for growth and innovation.
Dean is a results-driven technology leader with more than 19 years of experience delivering high-impact innovation across data, cloud, and analytics ecosystems. He has built his career on driving measurable business growth through the strategic use of emerging technologies, particularly within Agile environments where speed, adaptability, and precision are critical.
Throughout his career, Dean has specialized in big data platforms, cloud architecture, and advanced analytics, consistently enabling organizations to translate complex technical capabilities into sustained competitive advantage. His leadership has guided enterprise-scale transformations, from modernizing legacy systems into unified cloud data platforms to embedding predictive and real-time analytics into operational workflows.
In recent years, Dean has expanded his focus to the AI and Agentic development space, helping enterprises adopt next-generation AI systems that go beyond traditional analytics. This includes designing and deploying custom Generative AI and agentic solutions that connect enterprise data with large language models to automate workflows, assist in strategic decision-making, and generate real-time insights at scale.
His leadership has helped deliver agentic platforms for private equity, financial services, and other data-intensive industries, transforming workflows like deal sourcing, portfolio monitoring, and operational reporting into intelligent, autonomous systems.
Rizwan is a technology leader with over 20 years of experience driving AI-powered transformation and cloud innovation across enterprise organizations. His strategic vision in AI, data, and cloud technologies has been instrumental in guiding enterprises through complex market opportunities, transforming technical infrastructures into dynamic business solutions that deliver measurable value.
With deep expertise in modern DevOps, MLOps, AI/ML, advanced analytics, and Agile delivery methodologies, Rizwan consistently drives strategic objectives forward for enterprise clients. His approach combines technical excellence with business acumen to create solutions that scale. He has architected enterprise-scale intelligent document processing solutions using advanced NLP and machine learning, developed predictive analytics for claims processing and fraud detection, and pioneered AI-driven process automation across healthcare, fintech, and retail sectors.
Rizwan has designed cloud-native data platforms handling petabyte-scale data processing with real-time analytics and ML model deployment across AWS, Azure, and GCP environments. His leadership has delivered $165M in total P&L impact through strategic leadership of $4M-$30M digital transformation initiatives with a 99% KPI success rate.
He excels at bridging the gap between complex technical capabilities and strategic business outcomes, ensuring that technology investments translate into competitive advantages and sustained growth.
Dalida is an accomplished operations leader with a strong background in streamlining processes, optimizing efficiency, and implementing strategic initiatives. She has a proven ability to design and execute solutions that reduce friction, improve productivity, and create scalable structures that support sustainable business growth.
With experience spanning multiple industries and organizational environments, Dalida has consistently driven operational excellence by aligning cross-functional teams, standardizing workflows, and ensuring accountability in execution. Her leadership is characterized by a balance of strategic vision and hands-on problem-solving, allowing her to deliver immediate improvements while building long-term capabilities.
Dalida excels at identifying inefficiencies, building systems to overcome them, and fostering a culture of continuous improvement. Whether it is resource allocation, project management, or organizational planning, she ensures that every initiative directly contributes to measurable business outcomes.
Brett is a client-focused leader with over 9 years of experience helping organizations bridge the gap between business strategy and technology execution. With a strong background in data, analytics, and SaaS organizations, he has built a track record of delivering measurable results by fostering collaboration, aligning stakeholders, and keeping customer value at the center of every initiative.
He specializes in guiding executives and business leaders through the adoption of AI and agentic solutions, ensuring that investments translate into clear, ROI-driven outcomes. Brett has led engagements where companies move beyond traditional analytics into agent-driven ecosystems that streamline operations, accelerate decision-making, and create new growth opportunities.
His expertise lies in partnering with C-suite leaders to define priorities, establish success metrics, and ensure AI initiatives are grounded in business impact. Whether through Generative AI, Retrieval-Augmented Generation (RAG), or orchestrated multi-agent systems, Brett focuses on how these technologies can unlock productivity, improve decision intelligence, and create sustainable competitive advantage.
Known for his ability to translate complex innovation into practical business value, Brett continues to help organizations harness the next wave of AI transformation, not as abstract technology, but as a driver of real-world outcomes and long-term growth.
A diverse, senior team that builds together.
Practical builders, strategists, and delivery leaders from around the world, working remotely and in person on hard data and AI problems.
Join the team.
We are looking for motivated, fast-learning data scientists and engineers who want to ship production data and AI for operationally complex businesses.