Senior Vice President, Metrics and Analytics Manager

Reference #: 71745At BNY, our culture allows us to run our company better and enables employees' growth and success. As a leading global financial services company at the heart of the global financial system, we influence nearly 20% of the world's investible assets. Every day, our teams harness cutting-edge AI and breakthrough technologies to collaborate with clients, driving transformative solutions that redefine industries and uplift communities worldwide.Recognized as a top destination for innovators, BNY is where bold ideas meet advanced technology and exceptional talent. Together, we power the future of finance - and this is what #LifeAtBNY is all about. Join us and be part of something extraordinary.We're seeking a future team member for the role of People Analytics Senior Vice President to join our People Analytics team. This role is located in Pittsburgh, this role, you'll make an impact in the following ways:Partner with People Team and cross-functional stakeholders to frame critical people hypotheses and business questions of highest organizational impactLeverage existing internal and external data sources, including employee listening datasets (engagement surveys, pulse checks, focus-group transcripts and digital feedback channels), to give leaders a holistic view of the employee experienceApply advanced statistical methodologies and text-analytics (sentiment analysis, topic-modeling, clustering) to uncover key drivers of engagement, retention and performancePartner with HR SMEs, engineering, etc. to build & evolve an enterprise employee listening strategy (pulse surveys, lifecycle surveys, focus groups, social listening, AI feedback tools, etc.)Use AI-driven methodologies to gather, analyze and interpret employee sentiment and organizational signals across multiple channels related to employee experience, culture, inclusion and organizational health. Create compelling insight narratives tied to workforce and business outcomes.Develop and maintain dashboards, metrics and reporting frameworks for talent, engagement and workforce healthIntegrate voice-of-employee insights with traditional HR metrics (turnover, absenteeism, talent-pipeline health) to diagnose root causes and recommend targeted interventionsUse data-driven findings to co-create and prioritize solutions that elevate manager effectiveness, inclusion, career development and cultureResearch new technologies and methods across AI data science, data engineering and data visualizations to expand the team's toolkit. Partner with data, AI and HR tech teams to expand use of predictive HR analytics and learning capabilitiesTranslate quantitative and qualitative analyses into clear, compelling narratives for both technical and non-technical audiences-linking statistical results to actionable business recommendationsDemonstrate exceptional judgment and discretion when handling highly sensitive people data and confidential feedbackTo be successful in this role, we're seeking the following:Bachelor's degree in a quantitative discipline (statistics, data science, industrial/organizational psychology, etc.) or equivalent work experience required8-10 years of related experience including experience with HR/People data/analytics or workforce strategy working in/with complex organizationsAdvanced analytical and problem solving skills; experience in applying multivariate statistical methods, clustering, modelling, etc.Proven expertise analyzing employee listening and sentiment data - survey results, open text feedback, pulse metricsExperience designing analytics solutions with HR technologyAbility to communicate effectively with technical and non-technical audiencesStrong knowledge of Excel and data visualization skills (PowerBI preferred); data extraction, preparation and statistical languages including Python, R and/or SQLExperience with Oracle HCM a plusAt BNY, our culture speaks for itself, check out the latest BN news at:BNY NewsroomBNY LinkedInHere's a few of our recent awards:America's Most Innovative Companies, Fortune, 2025World's Most Admired Companies, Fortune 2025

Created: 2026-01-26