Data Science Machine Learning

TONY HENEIN

Bellevue, WA 425-***-**** *********@*****.*** https://www.linkedin.com/in/ehenein/ Portfolio

DATA SCIENCE ENGINEERING EXECUTIVE

Strategic data science and engineering leader with 20+ years driving enterprise data strategies, building high-performing teams, and delivering AI/ML solutions that drive measurable business value. Proven ability to set enterprise roadmaps, standardize methodologies, and lead cross-functional teams by designing, deploying, and adopting advanced analytics and machine learning products. Deep experience fostering cultures of data-driven decision-making, championing ethical AI, and scaling ML capabilities to power operational efficiency and customer engagement. Known for aligning data science strategy with business priorities, accelerating value delivery, and mentoring the next generation of data talent. Core competencies include:

Digital Transformations

Cloud Platform Development

Enterprise Architecture

Data Governance

Big Data & Data Warehousing

Continuous Delivery (CI/CD)

Data Management

Machine Learning (ML)

Strategic Direction

Cross Functional Leadership

Change Management & Transformation

Financial & Operational Analytics

PROFESSIONAL EXPERIENCE

Executive Director, Data Engineering 2/2024 – Present

Acacia Tech Group, Greater Seattle Area, WA

I lead enterprise-scale data science, machine learning, and analytics initiatives to accelerate business impact and foster a data-driven culture. I set strategic roadmaps prioritizing scalability, model reusability, and alignment with evolving business priorities. I oversee cross-functional teams that deliver AI/ML solutions, modernize data infrastructure, and drive user adoption across client organizations. Key highlights:

Set enterprise data science and ML strategy, enforcing standardized methodologies, scalable codebases, and ethical AI practices across client engagements.

Led cross-functional teams in designing and deploying automated ML pipelines, which reduced costs by 25% and increased model reusability and adoption.

Partnered with business stakeholders to align AI/ML solutions with strategic objectives, accelerating value delivery and change management.

Modernized analytics platforms using cloud-native and serverless technologies, enhancing benchmarking, decision intelligence, and operational efficiency.

Established and cultivated a data science community of practice, promoting innovation, knowledge sharing, and career growth for team members.

Executive Director of Engineering 03/2020 – 2/2024

Providence, Renton, WA

Defined and led the enterprise data platform and analytics roadmap, aligning data science, ML, and emerging Agentic AI solutions with finance, HR, and clinical priorities. Key highlights:

Led the end-to-end development of a forecasting model using structured healthcare data, including ingestion via Azure Data Factory (ADF) into Snowflake, feature engineering, model training in Databricks (time series and regression), validation, and deployment. Delivered predictive insights through Power BI dashboards.

Explored applications of Large Language Models (LLMs) and Agentic AI frameworks to augment data quality monitoring and automate metadata enrichment processes.

Spearheaded a finance analytics transformation, streamlining reporting across 53 hospitals, reducing report generation time by 90%, and driving executive decision-making.

Managed a 20-member cross-functional team, deploying CI/CD pipelines, standardizing development practices, and cutting development cycle time by 40%.

Established enterprise data governance and analytics standards, cutting data breach risks by 50% and ensuring 100% regulatory compliance.

Modernized HR and Talent Management analytics through a cloud ERP transition, improving processing efficiency by 20% and lowering costs by 15%.

Business Intelligence and Analytics Senior Manager 11/2015 – 03/2020

Moss Adams LLLP, Greater Seattle Area, WA

Drove enterprise strategy in collaboration with leadership and heads of Shared Services, Finance, Sales, and Marketing by selecting and implementing tools and processes supporting data governance, metadata management, discovery, and lineage. Key highlights:

Improved data retrieval efficiency by 50% and decreased operational costs by 20% by managing comprehensive roadmaps for data infrastructure, including data lakes and warehouses.

Directed a 50% increase in user activity and 75% improvement in client retention rates by developing and monitoring business metrics and KPI dashboards for actionable insights.

Expanded data processing capabilities 5x and handled 1TB+ datasets in near-real-time by defining and executing an Information Architecture transformation.

Senior Consultant 1/2015 – 11/ 2015

Sirius Computer Solutions, Redmond, WA

Aligned healthcare institutions' business needs and technology architecture with Sirius solutions and engineering approaches through close collaboration with design, architecture, and delivery of Hadoop-based solutions. Key highlights:

Enhanced customer satisfaction by directing scheduling, budgeting, resourcing, project status reporting, specific deliverables, and overall funding

Partnered with four lines of business to ensure the solution worked for all and presented weekly project updates to the company directors, ensuring high satisfaction

Researched and analyzed potential areas of improvement for customer service processes to implement changes for increasing overall efficiency and reducing operating costs

Principal Development Manager 11/1998 – 12/2014

Microsoft Corporation, Redmond, WA

Managed a team of 40+ Software Development Engineers (SDEs) in Redmond and India to deliver the architecture and engineering of 9 applications for Microsoft’s Finance and Headcount organizations. Key highlights:

Improved SLA delivery by 25% by implementing optimization and best practices for Headcount Reporting Data Warehouse, using complex business rules and expanding perspectives and attributes.

Upgraded ROI and scorecard management by recommending and driving improvements in data management, HR integration, and finance data platform processes.

Consolidated the work of 3 disparate organizations, enabling higher efficiency and enhanced ROI with fewer resources.

TECHNOLOGY SKILLS

Platforms: Azure, AWS, Dynamics 365, Oracle ERP, ServiceNow, Microsoft Power Platform, Google Cloud Platform (GCP)

Tools & Toolsets: Power BI, Tableau, Snowflake, Informatica, Alteryx, Apache Kafka, Databricks, Talend, Qlik, Looker

Languages & Frameworks: Python, Java, R, Hadoop, SQL, Spark, Scala, NoSQL (MongoDB, Cassandra), TensorFlow, PyTorch

Data Management & Analytics: Data Warehousing, Data Lake Architecture, ETL/ELT Processes, Data Governance, Master Data Management (MDM), Data Quality Management, Predictive Analytics, Machine Learning, Big Data Analytics, Business Intelligence (BI), Data Integration, Data Modeling, Metadata Management

EDUCATION

Master of Science in Data Science • Bellevue University, Bellevue, NE

Bachelor of Science in Computer Science • Pace University, New York, NY

Contact this candidate