Jonathan Manalo

Data Engineer. Data Scientist. Data Analyst.

CAREER SUMMARY

Hands-on data leader with 20+ years of experience driving significant revenue growth and efficiency gains through strategic application of advanced analytics, LLM/AI/ML, and scalable data pipelines. Proven ability to influence change through cross-functional collaboration, deliver tangible results, and present complex insights to diverse audiences. Expertise in cloud platforms, data processing tools, and advanced analytics frameworks, driving data-informed business decisions.

KEY SKILLS

  • Data Engineering & Infrastructure: Scalable Data Pipelines, Distributed Data Processing (Spark, Kafka), Cloud Platforms (AWS, GCP), Data Warehousing, ETL/ELT, Data Governance (HIPAA, GDPR, CCPA).
  • AI/ML: LLM, Prompt Engineering, Predictive Modeling, Time Series Analysis, NLP, Optimization Algorithms (e.g., Led LLM infrastructure development and prompt engineering, achieving >400% accuracy improvement).
  • Business Intelligence & Analytics: KPI Development, Data Mining, A/B Testing, Segmentation, Data Visualization (e.g., Developed a new pricing metric that generated nearly $1M in additional revenue).

TECH TOOLKIT

  • Cloud Platforms: AWS (S3, EC2, RDS, DynamoDB, Redshift, SageMaker, Lambda, Step Functions, VPC), GCP (BigQuery, Vertex AI, Cloud Build).
  • Databases: Databricks Delta Lake, Snowflake, PostgreSQL, MySQL, Teradata, MariaDB.
  • LLM/ML Frameworks: OpenAI, Anthropic, Hugging Face Transformers, TensorFlow, PyTorch, Scikit-learn.
  • Programming Languages: Python, SQL, R, SAS, SPSS.
  • Data Engineering/DevOps: Terraform, Kafka, Airflow, Docker, Git, GitHub Actions.
  • Data Visualization: Tableau, Looker, Plotly.

PROFESSIONAL EXPERIENCE

Data Engineering Contractor, Precedent, Charlotte, NC (1/25 – 3/25)

  • Engineered automated invoicing pipelines (internal/external), achieving a >150% reduction in resource utilization for weekly processing.
  • Architected and built a data warehouse, leveraging medallion architecture, to establish a foundational platform for BI and analytical reporting.
  • Leveraged LLMs for enhanced web scraping and for generating a custom lead scoring solution, driving a >200% improvement in lead qualification efficiency.

Director of Data Engineering, EcoMap Technologies, Baltimore, MD (10/24 – 12/24)

  • Led LLM infrastructure development and prompt engineering, achieving a >400% accuracy improvement.
  • Audited and optimized data engineering infrastructure, resulting in a >50% cost reduction.
  • Collaborated with engineering, product, sales, and client engagement leadership to integrate AI enhancements into business strategies.
  • Mentored junior engineers on data pipeline development and AI architecture best practices.

Director of Data, Movista, Bentonville, AR (6/22 – 7/24)

  • Designed and implemented a cloud-agnostic data warehouse on Databricks with real-time streaming, enabling advanced reporting and ML, contributing to a 10% increase in recurring revenue.
  • Led data scientists in developing optimization algorithms and ML solutions, improving client work efficiency by >15%.
  • Optimized data pipelines, achieving a 90% performance boost and an 80% cost reduction.
  • Directed research and development of an LLM-powered reporting feature enabling natural language queries.
  • Developed comprehensive data strategies, ensuring full compliance with GDPR and CCPA standards, resulting in over 100% increase in beta product POCs.
  • Mentored and guided a 15+ person team (on-shore and off-shore) in data engineering, analytics, and ML.

Sr. Director of Data Science and Solutions, Operative, Baltimore, MD (3/21 – 6/22)

  • Developed a time series AI/ML model achieving 97% accuracy in predicting impressions, improving targeted advertising effectiveness.
  • Led the creation of an optimization product using text classification and NLP, reducing inventory costs by >15%.
  • Developed a supervised ML model for impression forecasting, optimizing ad campaign planning and resource allocation.
  • Managed 15+ resources and ensured the availability and performance of 400+ data integrations.

Director of Analytics, STAQ, Baltimore, MD (11/19 – 3/21)

  • Developed a new pricing metric that generated nearly $1M in additional revenue (20% increase in new client revenue, 5% increase in recurring revenue).
  • Developed and deployed a time series AI/ML model with 95% accuracy in predicting ad revenue, optimizing campaign targeting and ROI.
  • Built data pipelines, anomaly detection algorithms, and an automated reporting system, increasing work efficiency by 93%.
  • Collaborated with executives on a comprehensive data science roadmap.

Vice President of Analytics, Powell Tate/Weber Shandwick, Washington, DC (9/16 – 11/19)

  • Built and scaled a high-performing data team from inception to 10+ members.
  • Led team in building data infrastructure (warehouses, pipelines, AI models) generating $3M sales leads within 3 months.
  • Delivered a data warehouse solution that reduced client time and resources by 800% weekly.
  • Developed media mix models and NLP-powered sentiment analysis to inform strategic client decisions.

Manager of Analytics, National Geographic Partners, Washington, DC (4/13 – 9/16)

  • Developed and implemented ML models, increasing digital and direct mail campaign lift by >30%.
  • Implemented an automated MLOps system, streamlining workflows by >50%.
  • Improved donor acquisition model, exceeding competitor lift by 22% and driving a 73% overall increase .

Manager of Analytics, Merkle, Inc., Columbia, MD (3/10 – 4/13)

  • Developed and implemented CRM analytical strategies for non-profit and health-focused organizations, including - United Way, Feeding America, and the American Heart Association.
  • Supervised and mentored analysts and statisticians, improving a lapsed donor model’s churn rate by 22%.

EARLIER EXPERIENCE

Senior Statistical Analyst, Meijer, Inc., Grand Rapids, MI (4/08 – 3/10)

  • Developed and conducted ML-based campaigns resulting in over $15M in incremental sales.

Senior Marketing Database Manager, AT&T Mobility, Redmond, WA (5/07 – 4/08)

  • Developed and maintained ML models that increased campaign lift by 30%.

Associate Measurement Statistician, Educational Testing Service, Princeton, NJ (8/04 – 4/07)

  • Managed scoring for large-scale educational tests, conducted research, and presented at national conferences.

EDUCATION

  • Ph.D., Measurement and Quantitative Methods, Michigan State University, East Lansing, MI (12/04) Skilled in the application of data science methodologies, ML/AI techniques, artificial intelligence models, and statistical analysis.
  • B.S., Magna Cum Laude, University of Florida, Gainesville, FL (5/97) Major: Psychology, Minor: Business.