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BNY · 8 hours ago

Senior Vice President, Metrics and Analytics Manager

Pittsburgh, PA

Full-time

Onsite

Senior Level, Lead/Staff

8+ years exp

BNY is a leading global financial services company that influences nearly 20% of the world’s investible assets. The People Analytics Senior Vice President will leverage data and advanced statistical methodologies to enhance employee experience and drive organizational performance through insightful analytics.

Financial Services

Responsibilities

Partner with People Team and cross-functional stakeholders to frame critical people hypotheses and business questions of highest organizational impact

Leverage 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 experience

Apply advanced statistical methodologies and text-analytics (sentiment analysis, topic-modeling, clustering) to uncover key drivers of engagement, retention and performance

Partner 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 health

Integrate voice-of-employee insights with traditional HR metrics (turnover, absenteeism, talent-pipeline health) to diagnose root causes and recommend targeted interventions

Use data-driven findings to co-create and prioritize solutions that elevate manager effectiveness, inclusion, career development and culture

Research 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 capabilities

Translate quantitative and qualitative analyses into clear, compelling narratives for both technical and non-technical audiences—linking statistical results to actionable business recommendations

Demonstrate exceptional judgment and discretion when handling highly sensitive people data and confidential feedback

Qualification

Advanced analyticsStatistical methodologiesData visualizationEmployee sentiment analysisPythonRSQLOracle HCMCommunication skillsProblem solving

Required

Bachelor's degree in a quantitative discipline (statistics, data science, industrial/organizational psychology, etc.) or equivalent work experience required

8-10 years of related experience including experience with HR/People data/analytics or workforce strategy working in/with complex organizations

Advanced 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 metrics

Experience designing analytics solutions with HR technology

Ability to communicate effectively with technical and non-technical audiences

Strong knowledge of Excel and data visualization skills; data extraction, preparation and statistical languages including Python, R and/or SQL