Michael Zusev

• Manage interdisciplinary teams of data engineers, data analysts, and visualization engineers, aligning priorities, dependencies, timelines, and delivery plans for R&D data and AI initiatives.
• Manage vendor-led projects by defining scope, tracking contractual commitments, escalating risks, and providing senior leadership updates on milestones and timelines.
• Coach scientists on BI reporting tools for advanced analytics use cases, including 3D molecular viewers and sequence annotation workflows.
• Support change management for new platforms through thorough documentation, instructions, and stakeholder enablement that improve adoption and operational readiness.
• Strengthen system reliability and trust by reviewing deliverables, validating quality, and ensuring data products remain usable, consistent, and well-supported.

Team Leadership · Vendor Management · Change Management · BI Reporting

• Led consultations with technical and non-technical stakeholders to design R&D data products and BI reporting tools for computational and wet-lab scientists
• Delivered robust data products using DBT transformations and custom business logic for tailored scientific workflows
• Designed and implemented Streamlit applications within Snowflake for validation, documentation, advanced analytics, and end-user accessibility
• Partnered with the ML DevOps team to validate data ingestion between containerized model applications and trusted data products

DBT · Streamlit · Snowflake · Data Validation

• Led the design of a GCP-based data platform, custom dashboards, and research reports by aligning strategic stakeholders across labour market domains
• Developed and maintained ETL/ELT pipelines using Dataflow and Python for scalable data integration
• Built reporting workflows that translated research questions into repeatable BI outputs for internal and external policy audiences
• Coordinated stakeholder review cycles to validate metrics, improve data quality, and ensure reporting outputs were consistent and trustworthy
• Implemented data governance frameworks to support platform development, validation, and performance measurement

GCP · Dataflow · BI Reporting · Data Governance

• Contributed to a custom business application and delivered tailored solutions for the line of business
• Wrote Python automations that improved office productivity and visibility into division activities
• Conducted statistical analysis of financial data to inform forecasting, risk, and multi-year budget projections
• Coordinated with IT, HR, Finance, and PMO partners to improve procedures, reporting, planning, and project coordination

Python · Automation · Financial Analysis · Stakeholder Management

Languages & Tools

Python, NumPy, pandas, Streamlit, SQL

Cloud & Infrastructure

AWS, S3, IAM, GCP, BigQuery, Google Cloud Storage, Snowflake

Data Engineering

DBT, Data Validation, Terraform, ETL, ELT Pipelines

Specializations

Data Architecture, BI Reporting, Data Governance, Vendor Management, Change Management

• Specialized in econometric research methods and quantitative policy analysis

• Graduated with distinction and built strong written and verbal communication skills for translating complex ideas to diverse audiences