Technical Project Manager

Your background

• A four-year degree in computer science or a related field and a strong program management background.
• Overall 8+ years of experience in IT industry with 2-4 years working on Machine Learning & Statistics projects.
• Strong consulting skills and proven background of driving customer engagements in a professional services capacity
• Experience leading agile development and engineering efforts from initial envisioning and epic construction to product deployment.
• Strong demonstrated experience leading diverse teams through rapid development cycles and producing high-quality software products and services at scale.
• Knowledge of Machine Learning pipelines – data ingestion, feature engineering, modeling, predicting, explaining, deploying and monitoring ML models.
• Experience leading teams working with Java, Python, R, C / C++ or similar scripting languages and general software development skills (source code management, debugging, testing, deployment, etc.)
• Knowledge of one or more open-source toolkits such as sklearn, CoreNLP, OpenNLP, NLTK, OpenCV, etc.
• Knowledge of one or more Deep Learning frameworks like TensorFlow, PyTorch, Keras, DeepLearning4J etc.
• Advanced knowledge and project-level experience with Azure, GCP and/or AWS.
• Drive individual customer engagements and ensure the successful outcome and delivery of solutions
• Compose and orchestrate a cross-functional team comprised of data scientists, data and software engineers, business subject matter experts, process experts, and key business decision makers through a full-lifecycle design and implementation of minimum viable products (MVP) that can be refined and scaled to commercial-level product(s) and or services.
• Drive detailed-level design sessions and prioritize and organize work across releases, iterations, and sprints.
• Orchestrate individual project team activities and help remove blockers that otherwise would prevent the team from accomplishing its mission and producing high-quality deliverables and solutions.
• Conduct regular daily/weekly cadence activities to manage engagement and agile development activities
• Document insights and learnings from engagements and determine how to improve future efforts and customer implementations.
• Report and analyze engagement outcomes and for continuous improvement and cycle-time reduction

Pluses

• PMI PMP Certified Project Manager.
• PMI Agile Certified Practitioner (ACP) Certified or Agile/Scrum Master Certification from industry recognized organization

What you will be doing

• Drive individual customer engagements and ensure the successful outcome and delivery of solutions
• Help identify high-impact business scenarios and use cases where AI-driven robots can lead the way to greater levels of automation, intelligent decisioning, and intelligent routing/pathing – providing game-changing opportunities across and within major business and industry segments.
• Compose and orchestrate a cross-functional team comprised of data scientists, data and software engineers, business subject matter experts, process experts, and key business decision makers through a full-lifecycle design and implementation of minimum viable products (MVP) that can be refined and scaled to commercial-level product(s) and or services.
• Drive detailed-level design sessions and prioritize and organize work across releases, iterations, and sprints.
• Orchestrate individual project team activities and help remove blockers that otherwise would prevent the team from accomplishing its mission and producing high-quality deliverables and solutions.
• Conduct regular daily/weekly cadence activities to manage engagement and agile development activities
• Document insights and learnings from engagements and determine how to improve future efforts and customer implementations.
• Report and analyze engagement outcomes and for continuous improvement and cycle-time reduction.

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