Skip to main content
Erika Janowicz

Erika Janowicz

VP, Chief Data Scientist

VP, Chief Data Scientist at WestCap

Open to Remote
Contact

    Background

    Erika Janowicz leads enterprise data and AI strategy, optimizing business intelligence and analytics across Finance, Insurance, Retail, Manufacturing, Marketing, and Global Automotive sectors. With a foundation in Actuarial Science and business strategy, she drives innovation through scalable, AI-driven solutions that enhance efficiency, decision-making, and competitive advantage. A trusted partner for executive and technology teams, bridging Business and IT to uncover actionable insights from global data. Transforming information into strategic value.


    Job experience

    • May 2021 - present
      VP, Chief Data Scientist
      WestCap

      - In 2025, defined and executed enterprise data and AI roadmap spanning 26 initiatives across six domains, aligned to digital transformation and growth goals.
      - Designed and implemented the firm’s Metrics that Matter which provided operational data solutions and automated summaries at the overall portfolio, fund, and portfolio company level for WestCap and its investors. This improved decision-making speed by over 60%.
      - Established core data science function, recruiting, and mentoring technical talent while defining ML deployment frameworks.
      - Served as the data and technology advisor for over 30 Portfolio Companies, bridging analytics capabilities with corporate strategies and revenue priorities.
      - Developed automated predictive and personalization models adopted across multiple business units for internal WestCap and Portfolio Company use.

    • April 2020 - April 2021
      Senior Director, Business Intelligence
      RXA

      - Specialized in analytics and AI strategy and executive reporting for organizations up to $11B in revenue, enabling executive decision-making, capital allocation, and IPO readiness through trusted data and KPIs.
      - Developed and implemented custom data governance frameworks to strengthen enterprise data literacy, improve data management, and align with architectural and compliance standards. This reduced pipeline latency from 6-8 hours to 5-15 minutes per customer.
      - Designed and launched the RXA Data Governance Health application, enhancing visibility, operational integrity, and platform optimization across business functions. This enabled self-service governance analytics, improved data accuracy by 5-15%, and boosted data confidence by 70-85% per customer.

    • October 2017 - April 2020
      Business Intelligence & Data Manager
      La-Z-Boy

      - Partnered with the Board of Directors and the Executive team to translate business requirements into actionable, enterprise-scale BI solutions.
      - Directed the development and implementation of the enterprise data strategy, governance framework, and technology roadmap, ensuring alignment of people, processes, and technology with organizational objectives.
      - Developed and implemented secure data analysis and management procedures, including database design, data lineage tracking, and information governance, improving data accuracy from 92% to 99.8% through automated validation and monitoring.
      - Drove digital transformation initiatives, accelerating product shipping by 7 days, reducing hours of manual data gathering to minutes, and resolving systemic issues across inventory, production, logistics, accounting, and IT systems.
      - Built proactive supply chain and quality dashboards, enabling teams to monitor performance, detect delays, and improve product quality, customer experience, and operational efficiency.

    • October 2016 - October 2017
      Senior Business Intelligence Analyst
      Ford Credit

      - Designed and delivered enterprise analytics solutions for Emerging Risk IT, serving as a key interface between Ford Credit, Ford Data Architecture, Information Architecture, and GDIA teams to define scalable data designs, perform data profiling, and map end-to-end data lineage and flows.
      - Collaborated with global Ford and Ford Credit stakeholders to translate risk and analytics requirements into governed, consistent data solutions, earning a Quarterly Recognition Award for early impact and partnership with GDIA.
      - Founded the Emerging Automated Testing team, leading governance, TDD, and CI/CD strategies across Ford Credit and Ford Motor to secure executive support for enterprise test automation strategy and adoption.

    • June 2015 - September 2016
      Senior Data Analyst
      Latcha + Associates

      - Developed comprehensive, actionable analytics and AI reporting for diverse clients, using strategic design and messaging to strengthen engagement.
      - Delivered 40–52% cost reductions and improved forecasting accuracy to 98.2% through data-driven strategy design and execution.
      - Improved cross-departmental collaboration by mapping data processes and optimizing database design.

    • July 2014 - May 2015
      Logistics Coordinator
      Reverie

      - Performed advanced analytics on order tracking, shipping, commissions, sales, marketing trends, and P&L performance.
      - Optimized procurement, production, and reverse logistics, reducing timelines, cutting costs, and measuring ROI on marketing initiatives.
      - Established strategic LTL and White Glove carrier partnerships that raised service quality from 85% to 97% and delivered a 15% reduction in delivery costs.

    • August 2013 - July 2014
      Intern
      Benzinga

      - Authored 830+ articles on IPOs, earnings previews, summaries, and analyst ratings for Benzinga and Benzinga Pro.
      - Developed algorithms and mathematical models to generate credibility scores, automate workflows, and visualize company stock projections, enhancing reporting accuracy and investor insights.


    Education

    • University of Michigan
      B.S. Actuarial Science
      - 2014

    Certifications

    • Private Equity Certificate Program
      Wharton + Wall Street Prep
      - June 2023