Senior strategic partner to Global 2000 customers and internal cross-functional teams, shaping enterprise AI transformation journeys that align business priorities with Uniphore’s Business AI Cloud platform.
Locations (2)
Palo Alto, California, United States
New York City, New York, United States
Compensation
Hiring Pay Range: $192,500 - $240,600
Responsibilities
Serve as a trusted executive advisor to C-suite leaders on AI strategy, responsible AI, governance, organizational readiness, and change management.
Lead high-impact executive discovery workshops to uncover strategic priorities, pain points, and high-value use cases across business functions.
Translate complex business challenges into strategic AI solution blueprints aligned to the Uniphore Business AI Cloud, including orchestration models, agentic workflows, data governance, and security.
Develop compelling AI value propositions, success metrics, ROI frameworks, and business cases that resonate with enterprise stakeholders.
Partner deeply with Sales, Solution Engineering, Product, and Marketing to shape transformative AI narratives tailored to enterprise scale.
Senior Technical Program Manager responsible for end-to-end delivery of Oracle Fusion PPM and EPBCS solutions, overseeing architecture, commercial management, and client engagement.
Compensation
In the US, the target base salary for this role is $175K to $220K.
Responsibilities
Client relationship and engagement governance
Single point of accountability for eClerx delivery across all phases and workstreams
MLOps involves management techniques for the deep learning or production ML lifecycle, including ML and DevOps methods, and data engineering processes for deploying and maintaining ML models in production.
Compensation
Consultant - 3,000 - 5,000 EUR gross per month; Senior Analyst – 1,700 - 4,000 EUR gross per month; Analyst – 1,400 - 2,800 EUR gross per month
Responsibilities
Design and implement cloud solutions, build MLOps on cloud (AWS, Azure, or GCP)
Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools
Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, and monitoring of its quality
Data science models testing, validation and tests automation
Communicate with a team of data scientists, data engineers and architect, document the processes
Requirements
Bachelor’s degree in Computer Science or Software Engineering