Senior Lead Analytics Consultant

Responsibilities

• Act as an advisor to senior leadership to develop or influence analytical strategies for highly complex business and technical needs
• Lead the strategy and resolution of highly complex and unique challenges requiring analytical application of industry techniques and advanced data from multiple sources across the enterprise
• Deliver solutions that are long-term, large-scale, and require vision, innovation, and coordination of highly complex activities
• Provide vision, direction, and expertise to senior leadership on implementing innovative and significant business solutions that align to the enterprise
• Ensure adherence to compliance and legal regulations and policies on all projects managed
• Strategically engage with all levels of professionals and managers across the enterprise and serve as an expert advisor to leadership

• 7+ years of Analytics, Reporting, Financial Modeling or Statistics experience, or equivalent demonstrated through one or a combination of the following: work experience, training, military experience, education
• Proficiency in Python for data analysis, machine learning, and production-grade development
• Experience taking AI/ML systems from prototype to production, including monitoring and lifecycle management
• Practical experience applying GenAI and AI assisted or agentic tools (e.g., Git Hub Copilot) for analytics or automation and to establish scalable, repeatable monitoring solutions.
• Experience with data acquisition, modeling, and preparation for analytics and machine learning workflows.
• Familiarity with data quality practices, schema design, metadata management, and documentation standards.
• Ability to guide teams on data cleaning, validation, and exploratory analysis.
• Practical experience with model selection, training, evaluation, and iteration.
• Familiarity with model evaluation techniques, including designing custom evaluation approaches when standard metrics are insufficient.
• Experience analyzing unstructured and large-scale datasets with complex processing requirements.
• Demonstrated risk detection or anomaly and pattern identification experience in analytics or monitoring use cases.
• Familiarity with modern development practices (e.g., reusable patterns, configuration driven or cloud native approaches).
• Experience building, testing, and automating production ready analytics pipelines.
• Strong written and verbal communication skills, with the ability to translate complex analytics into clear, actionable insights.
• Comfortable working in fast-paced, exploratory environments typical of proof of concept and innovation work.