United States
As the Director of Data Engineering & Architecture at Lands' End in the retail industry, I focus on utilizing comprehensive data analytics to inform strategic decisions and drive operational excellence. With expertise in digital marketing analytics, I provide actionable insights that fuel business growth. Leading a dedicated team, we ensure that our data architecture meets the evolving demands of a fast-paced retail environment. My approach combines in-depth analysis with innovative problem-solving, turning complex data into impactful strategies. As I continue to build on these experiences, my goal remains to leverage the power of data to deliver meaningful results.
Leading the modernization of the enterprise data ecosystem with cloud-native architecture on AWS Redshift to improve scalability, reduce operational costs, and accelerate data processing speeds with quality. Successfully transformed business intelligence (BI) by consolidating reporting platforms on Power BI, introducing standardized metrics and self-service dashboards, enabling business teams to access real-time, data-driven insights and make faster, informed decisions. Built and scaled a high-performing data engineering and BI team, fostering a culture of innovation, collaboration, and data ownership with strong AWS expertise. This significantly improved team productivity and accelerated the delivery of data solutions, allowing the organization to drive faster insights and actionable outcomes. Partnering closely with senior executives and business units to align data strategy with business goals, ensuring that data infrastructure, reporting, and analytics capabilities directly support key business priorities such as revenue growth, operational efficiency, and cost reduction. Driving Agile adoption and product ownership practices to improve prioritization, communication, and alignment between data teams and business stakeholders, ensuring that high-impact initiatives are delivered efficiently and transparently.
Develop and implement data-driven strategies that align with the organization's short and long-term business objectives, with the goal of driving revenue growth, reducing costs, and improving operational efficiency. Major Duties: Supporting cross functional (Sales, Marketing and Digital) analytics needs Lead and manage a team of analytics insights professionals to identify and analyze data, uncover areas of opportunity, and perform root cause analysis to deliver fact-based decisions that support the organization's goals. Spearhead Snowflake analytical data layers, data integration, and consolidation processes to execute best practices for usability, scalability, and data quality/governance. Manage & oversee machine learning models creation and implementation by team members to aid cross-functional partners. Core Accomplishments: • Leveraged Agile analytics approach and project management practices to enhance decision making • Implemented Digital Marketing Measurement Framework for improving monitoring/measurement of marketing effectiveness and alignment with sales • Established consolidated semantic data layer for effective use case delivery and insights discovery
Led the development and implementation of scalable data management, insights, and analytics capabilities for collecting, processing, modeling, and distributing consumer interaction data. Major Job Roles: Offered strategic guidance to team in creation of key analytics and reporting processes associated with digital marketing initiatives. Identified systems and data points to advise on areas for opportunity and collaboration in ingesting and tracking data. Key Accomplishments: • Efficiently managed and executed advanced analytics to support marketing efforts • Established fraud detection model based on user's online behavior • Identified digital transformation opportunities and maximized client’s digital experience by analyzing customer behaviors, navigation, and pain points • Reduced analysis time by 50% and saved approximately 400 manual hours per month of cross-functional team members by building consolidated data layer and developing a self-service reporting platform
Primary responsibility was to build the pricing models without impacting the customer satisfaction. Also, responsible for building the product bundles using the behavioral data. During this role, I was able to build a scalable pricing model which brought us $1M in revenue with the exceeded customer satisfaction and 100% retention Major Responsibilities: Organizing / coordinating monthly analytics review meetings with top management to provide results and data-driven suggestions and overseeing analytics projects to enhance customer experience and operational efficiencies, decrease churn, and build retention program. Key Contributions: • Completed Greenbelt project and increased after-call survey response rate by 18%. • Slashed manual effort by 50% by designing and executing effective automation of quality audit processes. • Built the data and value driven pricing model with compliance effort and generated over $1M in revenue without impacting customer satisfaction
• Primary role was to aggregate data and develop datamarts for analytics that allow knowledge discovery of the relationships between pharmacy benefit design components and member behavior • Created interactive report for external clients in Tableau