Business Analytics Lead Senior - Investment Data & Innovations
PNC Financial Services Group, Inc.
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Job summary
PNC is seeking a Senior Business Analytics Lead to drive the design and governance of an investment data warehouse, building scalable data pipelines and analytics products for executive decision-making. The role spans multiple locations in the US and requires deep expertise across data platforms, AI/ML, and data governance.
The position emphasizes collaboration with technology teams, leadership of data-driven initiatives, and delivering a governed single source of truth for investment data to
Qualifications
- Experience in Investment Management or Financial Services environments.
- Deep understanding of the full investment lifecycle including risk, governance and reporting.
- Proven experience designing and managing enterprise-scale data warehouses and investment data platforms.
- Strong SQL, Python, PySpark and ETL/ELT development skills.
- Experience with API development and data services.
- Experience with BI/dashboard tools (Tableau, Power BI) and front-end technologies.
- Experience with AI/ML, Generative AI and LLMs.
- Excellent communication and stakeholder management skills.
Responsibilities
- Lead development of a centralized investment data warehouse and single source of truth.
- Design scalable data architecture with governance, quality, and lineage.
- Build data pipelines for ingestion, transformation and distribution.
- Develop analytical solutions for leadership to enable data-driven decisions.
- Partner with Technology on data rollouts for assets, portfolios and risk.
- Translate business requirements into reusable data models and data products.
- Lead development of data-driven applications, APIs, and UI for analytics.
- Identify and implement emerging technologies to enhance capabilities.
Skills
Education
Tools
Job description
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(n) [position title] within PNC's [name of division] organization, you will be based in [city/state location of position].
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.
- 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
- 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.
- 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.
- Associate's degree in computer science, Information Technology, Data Science, Engineering, Finance, Business, or related field and 10+ years of relevant experience.
- Bachelor's degree in computer science, Information Technology, Data Science, Engineering, Finance, Business, or related field and 8+ years of relevant experience.
- Master's degree in computer science, Information Technology, Data Science, Engineering, Finance, Business, or related field and 6+ years of relevant experience.
- PhD in Computer Science, Information Technology, Data Science, Engineering, Finance, Business, or related field and 3+ years of relevant experience.
- No Degree and 12+ years of progressively responsible experience in data engineering, analytics, investment data management, enterprise data management, or related disciplines.
PNC is an in-office company that fosters a supportive culture where employees can thrive and achieve balance. We encourage candidates to connect with their recruiter and hiring manager to understand workplace expectations and ensure the role aligns with their goals.
PNC will not provide sponsorship for employment visas or participate in STEM OPT for this position.
- Leads the analytics processes across multiple functions or business units leveraging an array of complex analytical tools to create data driven solutions. Serves as the primary mentor to more junior employees.
- Consults with clients and mentors consultants/leads on tool and strategy implementation and monitoring, statistical scoring, business intelligence, data quality, and analytical product/solution development.
- Leading efforts across the team in determining the optimal analytic approach and supporting development, implementation and enhancements.
- Conceptualizing, developing and continuously optimizing analytical solutions for business leadership to enable more complex, data driven decision making.
- Leads the analysis of results and makes strategic recommendations for key business partners and senior management or communicate conclusions from complex analytical solutions to a wide range of audiences.
Successful candidates must demonstrate appropriate knowledge, skills, and abilities for a role. Listed below are skills, competencies, work experience, education, and required certifications/licensures needed to be successful in this position.
Analytical Thinking, Business Acumen, Business Analytics, Consulting, Decision Making and Critical Thinking, Effective Communications, Emerging Technologies
Roles at this level typically require a university / college degree. Higher level education such as a Masters degree, PhD, or certifications is desirable. Industry relevant experience is typically 8+ years. Specific certifications are often required. In lieu of a degree, a comparable combination of education, job specific certification(s), and experience (including military service) may be considered.
Bachelors
No Required Certification(s)
No Required License(s)
No Required or Preferred Language Assessments
Base Salary: $91,000.00 - $202,800.00
Salaries may vary based on geographic location, market data and on individual skills, experience, and education. This role is incentive eligible with the payment based upon company, business and/or individual performance.
Generally, this opening is expected to be posted for two business days from 08/14/2026, although it may be longer with business discretion.
- medical/prescription drug coverage (with a Health Savings Account feature)
- dental and vision options
- employee and spouse/child life insurance
- short and long-term disability protection
- 401(k) with PNC match
- pension and stock purchase plans
- dependent care reimbursement account
- back-up child/elder care
- adoption, surrogacy, and doula reimbursement
- educational assistance, including select programs fully paid
- a robust wellness program with financial incentives
- maternity and/or parental leave
- up to 11 paid holidays each year
- 9 occasional absence days each year, unless otherwise required by law
- between 15 to 25 vacation days each year, depending on career level
- years of service
If an accommodation is required to participate in the application process, please contact us via email at AccommodationRequest@pnc.com. Please include 'accommodation request' in the subject line title and be sure to include your name, the job ID, and your preferred method of contact in the body of the email. Emails not related to accommodation requests
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