Velir

Risk

• Lead enterprise data strategies aligned to client business objectives and digital transformation goals
• Design and implement scalable governance frameworks spanning data quality, metadata, MDM, stewardship, and access controls
• Advise executive stakeholders on making data a strategic asset through monetization, risk management, and organizational enablement
• Serve as the primary executive partner to senior client stakeholders, including CDOs and CIOs
• Translate complex business challenges into actionable data strategies and present recommendations to executive audiences
• Lead new business efforts including RFP responses, proposals, and client presentations
• Drive account growth and contribute to go-to-market strategy, partnerships, and service development
• Represent the organization through speaking engagements, industry events, and publications
• Oversee delivery of data strategy and governance engagements, ensuring quality, timeliness, and client satisfaction
• Lead and mentor a team of managers and senior leaders, fostering growth and high performance

Director, Data Strategy, Data Governance

Machine Learning Engineer

• Lead the design and implementation of scalable ML systems, including supervised, unsupervised, and LLM-based solutions
• Translate research and prototypes into production-ready systems
• Partner with stakeholders to identify high-impact AI/ML opportunities and define optimal technical approaches
• Provide technical mentorship and contribute to team upskilling
• Build and operate LLM pipelines, including prompt design, fine-tuning, and evaluation
• Develop RAG-based systems using embeddings, vector stores, and retrieval strategies
• Design evaluation frameworks, feedback loops, and datasets to continuously improve model performance
• Create reusable tooling to accelerate experimentation, deployment, and monitoring
• Own end-to-end ML lifecycle: data pipelines, training, deployment, monitoring, and iteration
• Establish best practices for reproducibility, observability, CI/CD, and model versioning
• Partner with platform/DevOps teams to ensure reliability and scalability
• Promote responsible AI practices, including governance, fairness, and transparency
• Lead cross-functional initiatives across data engineering, analytics, and AI/ML
• Translate complex ML concepts into clear recommendations for technical and non-technical audiences
• Collaborate with clients and internal teams to plan and deliver AI/ML solutions
• Contribute documentation, frameworks, and shared best practices
• Scope and lead complex AI/ML initiatives aligned to business outcomes
• Align stakeholders and drive execution across teams
• Establish clear success metrics and ensure delivery of high-impact solutions

Senior AI/ML Engineer

Data Analyst

• Senior Data Analysts play a pivotal role in helping our client organizations extract valuable insights from their data to make informed decisions and drive business improvements.
• Responsibilities span from data strategy and data modeling to data analysis and visualization.
• Work closely with clients to understand their specific business requirements to tailor data analytics solutions.
• Collaborate and shares results with clients who have varying levels of data expertise.
• Promotes a positive culture within and across different teams, collaborating with analytics engineers and data engineers on end-to-end client requirements.
• Contribute to the quality of larger and complex clients’ deliverables as well as ensuring the on-time delivery of complex analytics projects.