Manager- Analytics & AI/BI
Software Engineering, Data Science
Posted on Jul 7, 2026
The Manager, Analytics & AI is a hybrid role that blends team leadership with direct, hands-on delivery of advanced analytics, artificial intelligence, and strategic business priorities. This role leads the development and deployment of enterprise AI and data solutions, including Large Language Models (LLMs), Generative AI (GenAI), and scalable analytics platforms, while driving measurable business outcomes. ESSENTIAL DUTIES AND RESPONSIBILITIES•Key Responsibilities - AI Strategy & Implementation - Lead the design, deployment, and scaling of AI/ML solutions, including LLMs, GenAI, and agent-based systems in production environments - Build and operationalize scalable AI and analytics frameworks, including governance, monitoring, and MLOps practices - Support adoption of AI-assisted engineering workflows and intelligent automation within data and analytics environments - Ensure AI outputs align with enterprise standards, governance policies, and operational reliability expectations - Evaluate, benchmark, and optimize models across both open-source and commercial AI ecosystems Key Responsibilities - Data & Analytics Leadership - Lead, coach, and develop data engineering and analytics teams through mentorship, collaboration, and technical guidance - Establish clear team priorities, delivery expectations, and accountability standards aligned with organizational goals - Oversee development of scalable data pipelines, semantic models, dashboards, and reporting automation - Drive adoption of modern analytics tools and self-service capabilities across the organization Key Responsibilities - Business Transformation & Strategic Partnership - Act as a strategic advisor to business stakeholders, aligning AI and analytics initiatives with key financial and operational KPIs - Define and standardize methods for scoping, prioritizing, and tracking AI/analytics use cases, ensuring clear ROI measurement - Partner with Technology and Data Engineering to improve data accessibility, quality, and readiness - Drive enterprise data democratization through data catalog and data dictionary initiatives - Drive organizational change and adoption of new tools, processes, and ways of working Key Responsibilities - Operational Excellence & Innovation - Leverage automation and intelligent tooling to improve engineering productivity and reporting efficiency - Promote best practices in ETL/ELT, data modeling, analytics engineering, and cloud-based data platforms - Ensure alignment between analytics solutions and business processes to enable scalable, repeatable outcomes - Foster a culture of continuous improvement, experimentation, and innovation SUPERVISORY RESPONSIBILITIESThis job has no supervisory responsibilities. MINIMUM REQUIREMENTSTo perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or ability required. - Bachelor’s degree in computer science, data science, engineering, analytics, information systems, statistics, mathematics or related field (Master’s preferred) - 3–6 years of experience in advanced analytics, data science, or AI/ML - 1+ years of experience managing technical teams and projects Technical Skills & Experience - Proficiency in Python, SQL, and REST APIs - Experience with ML, LLM, and GenAI frameworks - Hands-on experience with MLOps practices and model lifecycle management - Experience with cloud environments such as Databricks, Azure, AWS, or Snowflake - Familiarity with Power BI, Tableau, or other visualization tools - Experience with data modeling, ETL/ELT pipelines, and reporting automation COMPETENCIES- Strong analytical thinking and complex problem-solving skills - Exceptional communication and presentation skills - Ability to influence without authority and drive cross-functional alignment - Experience in change management and driving adoption of new capabilities - Strategic mindset focused on business outcomes BFS COMPETENCIES Business and Financial Acumen Demonstrates depth of understanding for the P&L and financial analysisTeaches business and financial acumen to others.Understands KPIs and how BFS makes money. Knows the different business segments and how they relate to one another.Understands customer sales and engagement. Demonstrates functional and/or technical expertise. Understands complex issues and demonstrates problem solving skills.Understands how to maximize business results regardless of industry cycle. Results Driven Holds self and others accountable. Communicates and sets clear goals with plans to deliver. Manages competing priorities effectively.Demonstrates appropriate urgency. Drives to exceed expectations in alignment with our BFS SPICE values.Embraces and follows best practices.Demonstrates self-starter, can-do attitude. Strategic Thinking and Decision Making Leverages resources and teams around them to solve problems and create mutually beneficial outcomes. Demonstrates willingness and courage to make tough decisions in a timely manner. Balances short-and-long term priorities Demonstrates proactive versus reactive thinking. Asks questions to identify root cause and analyze situations more accurately. Servant Leadership Demonstrates humility by putting others first. Builds trust-based relationships. Leads by example with kindness and respect. Collaborates well across all areas of the business. Advocates for othersActively listens to understand the meaning and intent of what the other person is communicating.Demonstrates authenticity and encourages others to do the same. Emotional Intelligence Demonstrates situational awareness – knows when and how to adjust leadership style in different situations. Demonstrates self-awareness – understands strengths and weaknesses. Demonstrates empathy – puts themselves in other’s shoes. Assumes positive intent. Develops and Leads Others Drives alignment through clear communication of vision, goals, and expectations. Invests time on a regular basis in performance feedback and developmental conversations. Fosters a respectful and inclusive environment.Empowers, motivates, and inspires others.Coaches and mentor others for their development.Guides and persuades others to deliver positive outcomes. Growth Mindset Demonstrates a growth mindset; takes appropriate risks, fails fast and forward, learns from mistakes. Perseveres and champions growth, even in the face of resistance, ambiguity, or possible failure. Thinks like an owner with an entrepreneurial spirit. Demonstrates and encourages intellectual curiosity.Continuous learner; seeks opportunities and knowledge for personal and professional growth. Sees possibilities over problems – actively seeks solutions. Innovation Encourages out-of-the box thinking to create new ways of doing things. Continuously seeks to improve and simplify pain points in the business. Anticipates, embraces, and leads change. Develops and executes breakthrough strategies. Integrity Does the right thing even under challenging circumstances?Communicates with honesty. Consistently treats others fairly and equitably. Demonstrates reliability and does what they say they will do. Conducts tough conversations and delivers difficult messages with kindness and respect. WORK ENVIRONMENT / PHYSICAL ACTIVITY The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Subject to both typical office environment and outside locations with temperature and weather variations.Must be able to lift and carry up to 25 pounds.Occasional travel may be required.