Technical Project Manager - R01560073

Key Responsibilities

Project & Program Management

• Own planning, execution, tracking, and delivery of technical projects across cross-functional teams.
• Manage scope, timelines, risks, dependencies, and overall program governance.
• Drive Agile ceremonies, sprint planning, backlog prioritization, and delivery reporting.
• Ensure alignment between engineering teams, product owners, and business stakeholders.

Technical Leadership

Stakeholder & Communication Management

• Understand system architecture, data flows, APIs, cloud components, and integration requirements.
• Partner with architects and engineers to define technical designs, solution approaches, and implementation plans.
• Identify technical risks, constraints, and trade-offs, and guide teams toward viable solutions.
• Support teams in troubleshooting delivery issues and removing blockers.
• Serve as the primary communication bridge between business and technical teams.
• Translate business requirements into actionable technical tasks and execution plans.
• Provide clear project updates, dashboards, and documentation to leadership and stakeholders.
• Facilitate alignment meetings, decision-making sessions, and release planning.

Primary Skills

• Hypothesis Testing, T-Test, Z-Test, Regression (Linear, Logistic), Python/PySpark, SAS/SPSS, Statistical analysis and computing, Probabilistic Graph Models, Great Expectation, Evidently AI, Forecasting (Exponential Smoothing, ARIMA, ARIMAX), Tools(KubeFlow, BentoML), Classification (Decision Trees, SVM), ML Frameworks (TensorFlow, PyTorch, Sci-Kit Learn, CNTK, Keras, MXNet), Distance (Hamming Distance, Euclidean Distance, Manhattan Distance), R/ R Studio

Specialization

• Data Science Advanced: Senior Data Scientist

Job requirements

• Data Science Project Manager