Business Analytics Lead Senior - Investment Data & Innovations

Overview At PNC, our people are our greatest differentiator and competitive advantage in the markets we serve. We are all united in delivering the best experience for our customers. We work together each day to foster an inclusive workplace culture where all of our employees feel respected, valued and have an opportunity to contribute to the company’s success. As a Business Analytics Lead Senior within PNC's Investment Data and Innovation organization, you will be based in Pittsburgh, or Philadelphia, PA; Cleveland, OH; Tyson's Corner, VA; or Washington, D.C. Key Responsibilities: • Lead the development of a centralized investment data warehouse, delivering a governed single source of truth for investment data that supports multiple functions or business units • Design and implement scalable data architecture ensuring strong data governance, quality, lineage, and lifecycle management across the investment data warehouse • Build and oversee data pipelines supporting ingestion, transformation, and distribution from internal and external sources • Conceptualizing, developing and continuously optimizing analytical solutions for business leadership to enable more complex, data driven decision making • Partner with Technology teams on domain-based data rollouts (e.g., asset master, portfolio, risk, ESG) aligned to business priorities • Influence business requirements into reusable data models and data products enabling enterprise consumption • Lead development of data-driven applications, APIs, and user interfaces to support analytics and workflow automation • Identify and implement emerging technologies (AI/ML, advanced analytics, modern data platforms) to enhance capabilities Required Qualifications & Skills: • Experience with Investment Management, Asset Management, Wealth Management, or Financial Services environments. • Deep understanding of the full investment lifecycle, including investment research, due diligence, portfolio management, performance measurement, risk management, reporting, and data governance. • Proven experience designing, implementing, and managing enterprise-scale data warehouses and investment data platforms. • Expertise in Oracle Database Management and Oracle-based data warehousing environments. • Strong experience with Hadoop and/or modern big data technologies including Teradata, Trino, Apache Iceberg, or similar platforms. • Experience with Data Domain Management, master data management, metadata management, and enterprise data governance. • Strong experience with API development, integration frameworks, and data services. • Hands-on experience with: SQL, Python, PySpark, Java, or ETL/ELT Development • Experience designing, developing, and implementing: Artificial Intelligence (AI) solutions, Machine Learning (ML) models, Generative AI capabilities, and/or Large Language Models (LLMs) • Experience developing dashboards, visualization solutions, and analytics applications using: Tableau, Power BI, Angular or comparable front-end technologies • Demonstrated ability to identify challenges, recommend solutions, and drive measurable business outcomes. • Strong analytical, problem-solving, and strategic thinking capabilities. • Exceptional verbal and written communication skills. • Strong presentation and executive-level stakeholder management skills. Preferred Qualifications & Skills: • Previous people leadership and management experience. • Direct Investment Management industry experience. • Extensive Investment Data Management experience. • Proven ability to build relationships, influence business partners, and drive cross-functional collaboration. • Experience leading enterprise data transformation and modernization initiatives. • Experience with cloud-based data platforms such as Azure, AWS, Snowflake, Databricks, or Microsoft Fabric. • Experience working within Agile and product-oriented delivery models. Education & Experience