Lead Director – Decision Scientist, Analytical Validation, Financial Products

Jobtailor; Deutschland; Remote; EUR 120.000 - 150.000; Vollzeit

Zusammenfassung

Jobtailor is seeking a senior analytics leader to establish enterprise validation strategy across underwriting, drive P&L and forecasting validation, and partner with finance to assess impact and variances.

The role requires 12+ years in analytics with proven leadership of large teams, advanced SQL, and experience delivering self-service BI solutions. Strong communication and executive storytelling are essential.

Qualifikationen

• 12+ years of experience in analytics, decision science, BI, financial analysis, QA, or data validation.
• 5+ years of experience leading large analytical teams and developing people leaders.
• Expertise in analytical validation, anomaly detection, root cause analysis, and financial validation.
• Strong ability to analyze and synthesize both quantitative and qualitative data to generate insights.
• Experience developing self-service reporting solutions and communicating insights from reports and dashboards.
• Proven experience validating business outcomes and financial results using large-scale datasets.
• Advanced SQL and data analysis skills.
• Exceptional communication, stakeholder management, and executive presentation skills.
• Preferred: PBM, Healthcare, Underwriting, Pricing, Forecasting, Actuarial, or Financial Analytics experience.
• Preferred: Experience validating underwriting, forecasting, pricing, or P&L platforms.
• Preferred: Experience with Databricks, SQL, Tableau, Power BI, Python, or similar analytics platforms.
• Preferred: Advanced degree in Analytics, Statistics, Economics, Finance, OR, Data Science, or related quantitative discipline

Aufgaben

• Establish and lead the enterprise strategy and framework for analytical validation across the underwriting ecosystem.
• Validate business outcomes and financial impacts resulting from data, logic, configuration, and application changes.
• Lead P&L validation, forecasting validation, and financial impact assessments.
• Partner with business and finance stakeholders to investigate variances and performance shifts.
• Analyze large and complex datasets to identify trends, risks, opportunities, and drivers.
• Conduct root cause analysis, variance analysis, and business impact assessments.
• Analyze and synthesize data from interviews, questionnaires, observations, and stakeholder feedback.
• Develop self-service reporting solutions and reporting frameworks.
• Develop KPIs, scorecards, dashboards, and monitoring and validation controls.
• Translate complex analytical findings into actionable recommendations for business and executives.
• Establish standards and best practices for analytical quality assurance.
• Lead anomaly detection for data quality issues and forecasting deviations.
• Lead, coach, and develop a team of 10+ decision scientists, analysts, and validation professionals.
• Define team vision, strategy, goals, priorities, and OKRs.
• Manage resource planning, workload prioritization, and growth.
• Provide executive-level communication, reporting, and strategic recommendations

Kenntnisse

Analytical Validation

Financial Validation

Advanced SQL

Data Analysis

Team Leadership

Stakeholder Management

Executive Presentation

Dashboard Development

Forecasting Validation

Ausbildung

Advanced degree in Analytics, Statistics, Economics, Finance, OR, Data Science

Tools

Databricks

SQL

Tableau

Power BI

Python

Jobbeschreibung

• Establish and lead the enterprise strategy and framework for analytical validation across the underwriting ecosystem
• Validate business outcomes and financial impacts resulting from data, logic, configuration, and application changes
• Lead P&L validation, forecasting validation, and financial impact assessments
• Partner with business and finance stakeholders to investigate unexpected variances and performance shifts
• Analyze large and complex datasets to identify trends, risks, opportunities, and performance drivers
• Conduct root cause analysis, variance analysis, and business impact assessments
• Analyze and synthesize quantitative and qualitative data from interviews, questionnaires, observations, and stakeholder feedback
• Develop self-service reporting solutions and reporting frameworks
• Develop KPIs, scorecards, dashboards, and monitoring and validation controls
• Translate complex analytical findings into actionable recommendations for business and executive leaders
• Establish standards and best practices for analytical quality assurance
• Lead anomaly detection efforts for data quality issues, calculation discrepancies, forecasting deviations, and unexpected business outcomes
• Lead, coach, and develop a team of 10+ decision scientists, analysts, and validation professionals
• Define team vision, strategy, goals, priorities, and OKRs
• Manage resource planning, workload prioritization, and organizational growth
• Provide executive-level communication, reporting, and strategic recommendations

Requirements

• 12+ years of experience in analytics, decision science, business intelligence, financial analysis, quality assurance, or data validation
• 5+ years of experience leading large analytical teams and developing people leaders
• Expertise in analytical validation, anomaly detection, root cause analysis, business impact assessment, and financial validation
• Strong ability to analyze and synthesize both quantitative and qualitative data to generate insights and explain business outcomes
• Experience developing self-service reporting solutions and communicating insights from reports and dashboards
• Proven experience validating business outcomes and financial results using large-scale datasets
• Advanced SQL and data analysis skills
• Exceptional communication, stakeholder management, and executive presentation skills
• Preferred: PBM, Healthcare, Underwriting, Pricing, Forecasting, Actuarial, or Financial Analytics experience
• Preferred: Experience validating underwriting, forecasting, pricing, or P&L platforms
• Preferred: Experience with Databricks, SQL, Tableau, Power BI, Python, or similar analytics platforms
• Preferred: Advanced degree in Analytics, Statistics, Economics, Finance, Operations Research, Data Science, or a related quantitative discipline

Core Competencies

Demonstrates expertise in analytical validation, financial impact assessment, and data analysis, with a strong ability to lead teams and communicate insights effectively to stakeholders. Proficient in developing self-service reporting solutions and establishing best practices for analytical quality assurance.

Highest-signal resume keywords

• Analytical Validation
• Financial Impact Assessment
• Advanced SQL
• Data Analysis
• Team Leadership

Hard Skills

• Data Validation
• Root Cause Analysis
• Variance Analysis
• Business Impact Assessment
• Anomaly Detection
• KPI Development
• Dashboard Development
• Forecasting Validation
• P&L Validation
• Quantitative Data Analysis

Soft Skills

• Exceptional Communication
• Stakeholder Management
• Executive Presentation Skills
• Coaching
• Strategic Recommendations

Industry Keywords

• Analytics
• Decision Science
• Business Intelligence
• Financial Analysis
• Quality Assurance
• Healthcare
• Underwriting
• Pricing
• Actuarial
• Financial Analytics

Tools & Technologies

• Databricks
• SQL
• Tableau
• Power BI
• Python