Top Director of Analytics Jobs in NYC, NY

Leads Card customer analytics and AI strategy, overseeing analytics leaders, data scientists, and analysts. Drives GenAI, machine learning, experimentation, personalization, competitive intelligence, and forward-looking analysis across product, pricing, marketing, and servicing. Partners with business and technical stakeholders to deliver responsible solutions from concept through production, while building organizational capabilities, developing talent, and influencing executive decisions.

Lead liquidity risk methodology and analytics for markets within a global investment bank. Develop stress-testing and regulatory analytics, enhance liquidity frameworks, present recommendations to senior governance committees, represent the firm in supervisory engagements, and coordinate strategic initiatives across Treasury, Risk, Technology, Quantitative Research, and product teams.

Leads BlackRock Investment Stewardship’s Data & Analytics team and manages three engineers. Oversees data engineering, research and reporting platforms, automation, AI-enabled workflows, ETL/ELT pipelines, Snowflake lake house implementations, data quality, and integrations with Aladdin and external vendors. Partners with technology and analytics teams to support stewardship research, voting, engagement, and client reporting operations.

Lead the strategy, roadmap, and delivery of ChaseNet payment analytics products. Translate complex payment data into executive-ready insights, dashboards, pricing recommendations, and profitability analysis for merchant clients and internal stakeholders. Partner with product, engineering, data, and finance teams to improve revenue, costs, client savings, and business outcomes. Drive cross-functional alignment, prioritize capabilities, and communicate analytical findings to technical and executive audiences.

Lead design, build, and scale of generative and agentic AI solutions; deliver production ML systems, reusable platforms, observability and MLOps, mentor AI teams, partner with stakeholders to prioritize and measure enterprise impact.

Lead and scale a global HR analytics advisory team that partners with HR and business leaders to embed data-driven insights into workforce decisions. Drive executive-ready analytics, storytelling, predictive modeling, self-service reporting, and cross-functional collaboration to improve retention, mobility, allocation, and workforce risk management.

Leads and scales Scribd’s Analytics Engineering organization, building high-performing teams and governed data foundations for AI-driven decision-making. Oversees canonical data models, semantic layers, quality, observability, documentation, security, lineage, and platform standards. Partners with engineering and business leaders to guide architecture, prioritize investments, and deliver reliable data products with measurable impact. Requires strong technical judgment, advanced SQL, modern data stack experience, cross-functional leadership, and 10+ years of relevant experience.

Leads analytics strategy and technical delivery for clients, specializing in Adobe Analytics and Customer Journey Analytics. Conducts measurement workshops, defines KPI and implementation strategies, oversees tagging and data quality, guides experimentation, and reviews dashboards and insights. Advises senior stakeholders, manages and mentors consultants, supports proposals and account growth, and contributes to Adobe Experience Platform initiatives involving Target, RT-CDP, and AJO.

Leads customer analytics and strategy consulting initiatives that improve customer experiences, loyalty, and business growth. Responsibilities include analyzing customer touchpoints, designing journey maps, developing customer-centric solutions, overseeing multiple projects, managing executive client relationships, driving business development, mentoring leaders, promoting AI-human collaboration, and developing thought leadership across the PwC Network.

Leads strategic legal guidance for mass tort, multidistrict litigation, class action, claims, and settlement programs. Oversees legal strategies, contracts, dispute resolution, regulatory compliance, corporate governance, litigation workflows, claimant data, and client engagements. Develops innovative, AI-enabled legal solutions, manages business development, mentors legal professionals, and maintains senior relationships with law firms, administrators, vendors, and court-appointed stakeholders.

Leads climate physical risk modeling and analytics initiatives within JPMorgan Chase’s Risk Management organization. Develops climate risk metrics, scenarios, and macroeconomic impact analyses; integrates physical risk data into financial risk models; coordinates data, technology, and modeling teams; delivers executive-level insights; manages stakeholders; and mentors junior staff. The role supports climate resilience, low-carbon transition planning, regulatory requirements, and innovative methodologies for assessing climate, nature, and social financial risks.

Leads the analytics and artificial intelligence strategy for Auto Commercial Solutions, overseeing data scientists and quantitative analysts. The role develops machine learning, predictive analytics, generative AI, experimentation, governance, and scalable data products to improve dealer acquisition, relationship growth, sales effectiveness, portfolio performance, and commercial lending opportunities. It partners with senior leaders across product, technology, risk, finance, and sales while translating complex insights into business recommendations and building a high-performing analytics organization.

Lead the Deal Analytics practice advising private equity and corporate clients across the deal lifecycle. Translate complex and third-party data into actionable insights, manage multiple projects, drive business development, mentor staff, and implement visualization and analytics solutions using tools like Alteryx, Power BI, and Tableau.

Lead strategic data analytics within Deals, applying advanced analytics, visualization, and statistical modeling to solve client problems. Oversee multiple projects, maintain executive client relationships, drive business development, mentor teams, and promote data integrity, innovation, and thought leadership to support firm growth.

Lead PMG’s analytics organization across clients, industries, and regions. Define the analytics capability roadmap, scale teams, guide senior client relationships, and align measurement strategies with business objectives. Oversee attribution, incrementality, reporting, experimentation, and data architecture while partnering cross-functionally. Manage Director-level leaders, succession planning, performance processes, governance, and thought leadership. Use AI, automation, and emerging analytics technologies to improve efficiency, decision-making, and marketing performance.

Leads enterprise analytics strategy, measurement frameworks, KPI development, dashboards, reporting, and insights for B2B commerce, marketing, and customer experience clients. Oversees analytics implementations across web, commerce, CRM, CDP, BI, and data platforms; mentors analysts and consultants; manages data quality and governance; leads executive client discussions, workshops, proposals, and business growth opportunities.

Leads and scales the company-wide product analytics function, managing embedded analytics teams and aligning analytics roadmaps with business and P&L goals. Establishes standards for experimentation, data modeling, reporting, and data integrity; reviews complex analyses and experimental designs; and delivers executive-level insights. The role manages analytics leaders, develops talent, prioritizes high-impact initiatives, and remains hands-on with SQL, Python, root-cause analysis, dashboards, and advanced experimentation.

Leads growth and business analytics across acquisition, funnel performance, retention, churn, pricing, and customer lifetime value. Builds forecasts, dashboards, reporting frameworks, and analytical processes; identifies growth opportunities and performance gaps; supports planning and budgeting; and translates complex data into strategic recommendations. Partners with Growth, Marketing, Finance, Product, and external stakeholders while managing and mentoring an analytics team.

Leads business analytics strategy, data infrastructure, product analytics, measurement frameworks, experimentation, and data-driven strategy for AI-powered customer assistance channels. Connects customer experience and operational efficiency outcomes while partnering with Product, Technology, Operations, and Finance. Manages and develops analysts, oversees concurrent projects, builds business requirements, and drives executive-level decisions supporting growth, profitability, and service improvements.

Leads subscription analytics across acquisition, engagement, retention, churn, win-back, and lifetime value. Defines subscriber metrics and governance standards, conducts advanced SQL analysis, and translates consumer and revenue data into strategic recommendations for marketing, content, product, pricing, and finance. Manages two analytics leaders, partners with data engineering and cross-functional teams, and presents executive-ready insights supporting FOX Nation and future subscription services.

Leads global HR systems, HRIS strategy, analytics, governance, and transformation. Owns Oracle HCM and SAP SuccessFactors roadmaps, data governance, integrations, reporting, AI-enabled automation, releases, and process standardization. Partners with HR, IT, Finance, Legal, vendors, and LVMH stakeholders while managing global teams, budgets, implementations, compliance, adoption, and service delivery.

Leads finance transformation, data science, analytics, forecasting, anomaly detection, automation, and AI initiatives. Partners with finance, technology, and business leaders to improve reporting, financial data quality, forecasting, and decision-making. Develops data science roadmaps, deploys production models, establishes governance and responsible AI standards, measures business impact, and presents findings to executives. Coaches a data science team and manages cross-functional priorities.

Leads statistical programming for oncology real-world evidence studies from initiation through final delivery. Translates protocols and analysis plans into reproducible SAS, SQL, R, and Python workflows; develops and validates datasets, tables, listings, figures, and analyses. Assesses healthcare data quality, supports observational and comparative effectiveness studies, maintains documentation and reusable code, collaborates with HEOR scientists, data scientists, and biostatisticians, and provides technical guidance to junior programmers.

Own and optimize Scorpion’s revenue operations infrastructure, including Salesforce, data architecture, analytics, forecasting, reporting, integrations, automation, and AI enablement. Build dashboards and governance processes, improve forecast accuracy and funnel operations, analyze revenue performance, and advise executives on risks and growth opportunities. Collaborate cross-functionally with Sales, Marketing, Finance, Customer Success, and Product while leading initiatives through technical expertise and influence rather than direct management.

Leads revenue analytics and planning across multiple brands, products, and sales motions. Owns forecasting methodology, capacity and quota planning, compensation modeling, funnel metrics, annual GTM planning, scenario analysis, and executive and board reporting. Advises CRO and CEO, leads the analytics team, improves Salesforce data standards, and uses AI and automation to scale reporting and forecasting.