• Collaborates with executive stakeholders, technical staff, analysts and subject-matter experts in creating robust, high-trust, scalable Enterprise data analytics solutions for business insight. • Advises business and technical leadership, and Product Owners in defining and scoping strategic Enterprise, Pillar, and Line of Business analytics product backlogs and performance metrics. • Performs advanced data analysis including sampling, modeling, profiling, and evaluation of statistical metrics. • Researches and assesses data quality, data lineage and business use of data sources for critical Enterprise/Master data. • Provides leadership, Business Analysts and other Data Analysts with recommendations to address data quality issues and recommends the best data sources to enable effective analysis of critical master data. • Fosters the cross-functional collaboration required to leverage data as a strategic asset to enable self-service analytics (i.e.; insight generation, dashboards), advanced analytics (i.e.; predictive and prescriptive modeling), corporate performance management, and digital transformation. • Ensures technical metadata and business glossary meets data protection, data privacy and data quality standards. • Provides administrative and configuration support for the Enterprise information catalogue and business glossary, and the Enterprise Performance Management application. • Collaborates within an agile, multi-disciplinary team of data architects, data analysts, data engineers, BI developers and scrum master to deliver analytics solutions. • Adapts standard or develops new business rules for classification, forecasting, simulation, optimization, and summarization necessary to support analytic needs. • Assesses the accuracy of data sources and defines and documents cleansing strategies to meet data quality requirements; provides recommendations to define data quality standards.