Analytics and Decision Support Manager

• Manage, coach, and develop two Team Leads and four Analysts
• Set clear roles, quality standards, feedback, and accountability
• Prioritize demand based on business impact, urgency, data readiness, and capacity
• Own the enterprise analytical agenda and resource plan
• Hire, assess performance, develop Team Leads, and build succession coverage
• Maintain hands-on involvement in priority delivery
• Translate business questions into statistical analyses, predictive models, experiments, dashboards, forecasts, scenario models, and recommendations
• Ensure deliverables are timely, understandable, actionable, and clearly explain assumptions, limitations, and material changes
• Supply model evaluation and reproducible performance evidence for BLV and other intelligence products
• Advise senior leaders on findings, uncertainty, and trade-offs
• Challenge business assumptions and analytical methods
• Build reusable models and decision tools
• Establish consistent metric definitions, technical evaluation, documentation, and review practices
• Partner with data engineering and business teams to improve data quality, automate recurring work, expand self-service, and retire redundant reporting
• Provide technical evidence for independent validation and business approval
• Improve the analytics operating model and track adoption of improvements
• Personally conduct important analyses, develop or review models, interrogate data, define metrics, and write decision recommendations

• Relevant education or professional training in statistics, mathematics, economics, finance, engineering, computer science, analytics, or a related quantitative discipline is valued; a degree is not mandatory
• Twelve or more years of progressive experience in data science, analytics, business intelligence, quantitative decision support, or closely related work
• At least five years of people leadership and meaningful experience leading Team Leads, managers, or senior analytical staff
• Experience building, scaling, or materially improving an analytics or data science function
• Experience delivering analytical capabilities used in business decisions or production products
• Ability to coach Team Leads, develop analysts and data scientists, manage recurring and ad hoc demand, and prioritize with senior business leaders
• Recent hands-on analytical delivery; not a management-only role
• Experience owning a portfolio combining data science, executive/management reporting, enterprise KPIs, self-service analytics, forecasting, scenario modeling, and rapid ad hoc decision support
• Experience developing and evaluating predictive models using train/test design, backtesting, performance metrics, stability or drift analysis, documentation, and communication of limitations and intended use
• Experience defining enterprise metrics and reconciling competing definitions across functions
• Experience building analytical tools and decision frameworks supporting operating, credit, pricing, portfolio, capital, or strategic decisions
• Experience supporting senior leaders in a fast-moving business and triaging analytical demand based on decision value, urgency, data readiness, and capacity
• Strong hands-on capability with SQL and Python or equivalent analytical tools, plus business-intelligence and visualization platforms
• Deep knowledge of statistical analysis, predictive modeling, model evaluation and backtesting, experimentation, forecasting, scenario analysis, feature development, data visualization, and reproducible analytical workflows
• Ability to frame ambiguous business questions, identify the decision analysis must support, select an appropriate approach, and communicate findings, uncertainty, limitations, and trade-offs
• Ability to provide concise recommendations to senior executives and work with operational users and technical teams

• Compensation in USD
• Paid time off (PTO)
• Fully remote work environment