Strategic Leadership:Provide strategic direction and leadership for the data science team, aligning efforts with organizational goals and driving data-driven decision-making across departments.Oversee the development and execution of the data science roadmap, ensuring alignment with the company's overall business strategy.Team Management:Manage a team of highly skilled data scientists, fostering a collaborative and innovative environment to drive continuous improvement and excellence in analytics.Lead recruitment efforts, mentor team members, and conduct performance reviews to optimize the team's effectiveness.Advanced Analytics:Utilize advanced statistical modeling, machine learning, and data mining techniques to derive actionable insights from complex datasets, contributing to enhanced business intelligence.Spearhead the implementation of descriptive, diagnostic, predictive, and prescriptive analytics to forecast trends, identify opportunities, and mitigate risks.Cross-Functional Collaboration:Collaborate with cross-functional teams, including finance, IT, legal, marketing, and product, to understand business requirements and develop data-driven solutions that address specific challenges and opportunities.Work closely with executives and stakeholders to present findings and recommendations, influencing strategic decision-making.Data Governance and Quality:Establish and enforce data governance and quality standards to ensure the accuracy, reliability, and integrity of data across the organization.Implement best practices for data management and privacy, ensuring compliance with industry regulations.Technology Utilization:Evaluate and implement cutting-edge data science tools and technologies to enhance the team's capabilities and improve overall efficiency in data analysis.Project Management:Lead end-to-end project management of data science initiatives, from defining project scope and objectives to delivering timely and impactful results.

Designed, socialized, managed, and integrated a new production health monitoring system able to detect, communicate and display production issues in real-time for all applications at all scales - shifting the question from ‘is something wrong’ to ‘should this be acted upon’. Championed A|B testing, and data-driven design of product features and tests reducing the cost and complexity of designing and implementing testing. Stakeholders experienced reduced cognitive load surrounding communication while improving decision-making around complex topics.Standardizing the process surrounding feature measurement through our productdevelopment lifecycleDesigned and managed ad engine decisioning and evaluation - identifyingin-market indicators and consumer behaviors to deliver relevant offers tointerested users

Developed and implemented data strategies aligned with organizational goals - Designed, created, and managed automated lifetime valuations and net present value of enrollments for financial analysis. Aligned Finance, Marketing, and Product around a 360-degree view of customer segments, their value, key performance indicators, and their cost to acquire. Identified opportunities in our marketing spend strategy, utilizing advanced analytics, machine learning, and statistical modeling, resulting in a $6M shift in spend reallocated into efficient channelsSkilled in overseeing and driving data analysis projects from conception to delivery of actionable insights.Collaborated with cross-functional teams to define, understand, and support business objectives.Mentored and, fostered a culture of continuous learning and innovation among team members.Provided clear communication to convey complex technical insights to non-technical stakeholders.

Led and executed end-to-end analytical projects, from defining objectives to presenting findings at scale.Utilized a holistic approach to collecting, analyzing, and interpreting complex data sets to supply clear insights of causal events. Demonstrated expertise in trend analysis, forecasting, and the development of key performance indicators (KPIs) for precise performance measurement.

Created full-stack regression methodology to comprehensively test ETL pipeline development reducing QA efforts by 80% and rollbacks by 50%.Used database tools such as SQL, and data visualization tools (e.g., Spotfire) to transform complex data into clear and actionable recommendations. Experienced in identifying trends, patterns, and anomalies, and presenting findings in a clear and compelling manner to both technical and non-technical stakeholders. Collaborated with cross-functional teams to understand business needs and provide data-driven solutions that shift the question.

First adopter in the company to implement Spotfire (BI dashboard) optimizing customer support operations - reducing BAU reporting workload by 95%. Planned five call center transitions, of up to 90% of our workforce, maintaining forecasted KPI's throughout transitions. Identifyed trends, analyzed data, and implemented to improve call center KPIs (reduce call time, increase occupancy, increase first call resolution rate). Successfully reduced forecasted call accuracy by 20 percentage points, achieving a remarkable improvement from 30% to 10%. Through forecasting analysis, I discovered an error in the subscription renewal process resulting in 3% more subscription billings per month (~1.5M revenue increase)By analyzing customer feedback, and call records, I created and implemented a methodology for identifying agents underperforming in specific call types, enabling targeted training strategies for improving outcomes and performance.Created a new agent incentive program to align incentives with outcomes. Improving first call resolution rate for cancellation calls from 75% to 90%. Reducing agent turnover and improving agent satisfaction.

Evaluated customer interactions, monitored performance metrics, and conducted thorough audits to identify areas for improvement. Developed and implemented training programs to enhance the skills of customer service representatives. Provided coaching and constructive feedback to support continuous improvement.