Head of Data & Analytics Job at Verse Medical (New York City)

Head of Data Science & Analytics

A hands-on data leader is sought who thrives at the intersection of high-impact ...

Location

United States , Fort Lee

Salary:

200000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a quantitative or related field and 8+ years of relevant experience
Proven hands-on SQL, Python, and Databricks skills
Data science experience within a marketing context, including: Attribution modeling
Audience segmentation, targeting, and measurement
Campaign lift analysis
Predictive modeling
KPI forecasting and scenario planning
Funnel conversion analysis
Geographic performance and market opportunity analysis
Marketing experimentation frameworks

Job Responsibility

Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building
Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights
Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models
Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes
Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting
Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms
Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams
Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders
Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges

What we offer

Health and Welfare Benefits: Medical, dental, vision, health savings account, flexible spending accounts, accident/critical illness coverage, life insurance, AD&D, legal, identity theft protection, employee assistance program, wellbeing resources
Paid Holidays and Time Off: Short-term/long-term disability, paid parental and adoption leave, jury duty, military, and bereavement leave
Retirement Benefits: Savings plan with annual company contribution
Eligible for the annual bonus program

Fulltime

Head of Data Science & Analytics

A hands-on data leader is sought who thrives at the intersection of high-impact ...

Location

United States , Fort Lee

Salary:

200000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a quantitative or related field and 8+ years of relevant experience
Proven hands-on SQL, Python, and Databricks skills
Data science experience within a marketing context, including: Attribution modeling
Audience segmentation, targeting, and measurement
Campaign lift analysis
Predictive modeling
KPI forecasting and scenario planning
Funnel conversion analysis
Geographic performance and market opportunity analysis
Marketing experimentation frameworks

Job Responsibility

Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building
Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights
Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models
Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes
Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting
Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms
Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams
Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders
Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges

What we offer

Eligible for the annual bonus program
Health and Welfare Benefits: Medical, dental, vision, health savings account, flexible spending accounts, accident/critical illness coverage, life insurance, AD&D, legal, identity theft protection, employee assistance program, wellbeing resources
Paid Holidays and Time Off: Short-term/long-term disability, paid parental and adoption leave, jury duty, military, and bereavement leave
Retirement Benefits: Savings plan with annual company contribution

Fulltime

Head of Data Science & Analytics

A hands-on data leader is sought who thrives at the intersection of high-impact ...

Location

United States , Fort Lee

Salary:

200000.00 USD / Year

Robert Half

Expiration Date

Until further notice

Requirements

Bachelor’s degree in a quantitative or related field and 8+ years of relevant experience
Proven hands-on SQL, Python, and Databricks skills
Data science experience within a marketing context, including: Attribution modeling
Audience segmentation, targeting, and measurement
Campaign lift analysis
Predictive modeling
KPI forecasting and scenario planning
Funnel conversion analysis
Geographic performance and market opportunity analysis
Marketing experimentation frameworks

Job Responsibility

Embed data science into the core of marketing and business decisions, leveraging expert knowledge of marketing analytics, business operations, and high-impact team building
Lead and oversee a team of data scientists and analysts focused on delivering best-in-class models and actionable insights
Collaborate daily with cross-functional teams to understand evolving business needs, and develop effective analytics solutions and models
Execute a roadmap to continuously improve the accuracy and functionality of models, enhancing overall business outcomes
Drive data science initiatives that improve customer engagement and operational efficiency through personalization and targeting
Deliver value-creating projects, including customer segmentation, propensity models, and dynamic bidding algorithms
Serve as subject matter expert and primary producer for forecasting model development and execution, partnering with enterprise data management and technology teams
Prepare and deliver presentations summarizing key insights and recommendations to senior stakeholders
Foster a learning mindset throughout the team, supporting a collaborative and client-focused culture motivated by business and technical challenges

What we offer

Eligible for the annual bonus program
Health and Welfare Benefits: Medical, dental, vision, health savings account, flexible spending accounts, accident/critical illness coverage, life insurance, AD& D, legal, identity theft protection, employee assistance program, wellbeing resources
Paid Holidays and Time Off: Short-term/long-term disability, paid parental and adoption leave, jury duty, military, and bereavement leave
Retirement Benefits: Savings plan with annual company contribution

Fulltime

Head of Data and Analytics

As the Head of Data & Analytics, you will be responsible for building and leadin...

Location

United States , San Francisco

Salary:

200000.00 - 280000.00 USD / Year

Speak

Expiration Date

Until further notice

Requirements

Proven experience building and leading high-performing data and analytics teams at a scaled tech company
Deep understanding of modern data stacks and tools: e.g., BigQuery, Airflow, Mode, Amplitude, dbt, Looker, or similar
Strong technical foundation in SQL, and proficiency in Python or similar languages for analytics and modeling
Demonstrated success in using data to drive measurable improvements in product and growth KPIs
Strong knowledge of data governance, privacy, and compliance frameworks
Ability to translate complex data into clear insights and narratives for executive and cross-functional stakeholders
Strategic mindset with a willingness to dive into hands-on problem solving when needed
Excellent communication skills and experience influencing senior leaders and cross-functional partners

Job Responsibility

Build and lead a high-performing team of analysts and data engineers that support teams across product, growth, marketing, curriculum, finance, leadership, and more
Define and own the long-term data vision, strategy, and roadmap across infrastructure, analytics, and governance, with a specific focus on the use of AI and related tools to enable the team and scalability
Standardize key metrics and definitions across the organization, driving consistency and alignment
Develop and maintain robust, scalable data pipelines with >99% uptime and automated monitoring
Build and promote self-serve data tools and dashboards that empower teams to access insights faster
Increase experimentation velocity in partnership with Product and Growth, while improving rigor and accuracy of results
Establish strong data governance, ensuring compliance with global privacy regulations (GDPR, CCPA, etc.)
Hire, coach, and mentor data talent, growing the team while maintaining high standards for quality, accuracy, and reliability
Drive adoption of a data-first culture across the company through education, storytelling, and partnership

What we offer

Join a fantastic, tight-knit team at the right time
Do your life's work with people you’ll love working with
Global in nature
Impact people's lives in a major way

Fulltime

Head of Data Science & Analytics

Lead and elevate the data function at Heetch. This role blends technical experti...

Location

Spain , Barcelona

Salary:

Not provided

Heetch

Expiration Date

Until further notice

Requirements

10+ years of experience in Data Science, Analytics or a related field
3+ years of leadership experience
Proven ability to recruit, develop and mentor high-performing teams
Deep expertise in Python, SQL, and statistical modelling
Experience in production-grade data science
Strong background in experimentation, A/B testing, and causal inference
Ability to translate complex data insights into business actions

Job Responsibility

Mentor, coach, and develop data scientists and analysts
Create growth opportunities within the team
Foster a culture of analytical excellence, curiosity, and ownership
Define and drive the data science & analytics roadmap
Balance predictive modelling, experimentation, and deep analytics
Ensure best practices in data governance, quality, and scalability
Scale A/B testing and causal inference frameworks
Develop methodologies to measure impact and optimise key metrics
Partner with PMs, engineers, and leadership
Leverage data storytelling and advanced analytics to influence strategic decisions

Fulltime

D&T Head of Data, BI & Analytics

The Head of Data Sciences, Analytics, AI, and BI is a senior strategic and opera...

Location

Salary:

Not provided

Aramex

Expiration Date

Until further notice

Requirements

Leadership Behaviors: Collaborate & break silos
Execution & Accountability
Growth mindset
Innovation

Job Responsibility

Develop and communicate a long-term vision and strategy for Data Sciences, Analytics, AI, and BI, aligned with Aramex’s business strategy and growth objectives.
Drive innovation in analytics and AI, exploring emerging technologies, algorithms and methodologies to enhance business decision-making and operational efficiency.
Proactively engage business stakeholders to understand complex requirements, desired outcomes, and strategic priorities.
Design and deliver fit-for-purpose analytics and AI solutions that optimize operations, improve customer satisfaction, and drive revenue.
Use insights from customer feedback, usage analytics, and emerging trends to identify continuous improvement opportunities.
Own end to end operations of enterprise analytics platforms, including GCP-based ecosystems (BigQuery, Dataflow, Pub/Sub, Looker) and legacy BI systems (SQL Server, Oracle BI, ETL pipelines).
Ensure platform stability, performance, security and compliance through robust ITIL-aligned processes (incident, problem, change, release management).
Define and maintain SLAs, SLOs, and operational KPIs for uptime, pipeline reliability, cost efficiency, and user satisfaction.
Lead post-project operationalization, including service acceptance, monitoring, and continuous improvement loops.
Lead and mentor a high performing team of data scientists, AI engineers, BI analysts, and data operations engineers.

Head of Enterprise Data & Analytics

The Head of Enterprise Data Management & Analytics is a senior leadership role r...

Location

United States , San Jose

Salary:

219000.00 - 300000.00 USD / Year

Archer Aviation

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Data Science, Engineering, or a related field (Master’s preferred)
10+ years of experience in data management, analytics, or related roles, with increasing leadership responsibility
Proven experience leading teams of data architects and/or data scientists
Strong expertise in enterprise data architecture, data warehousing, and analytics platforms (cloud-based preferred)
Experience establishing data governance and quality frameworks in a regulated or public company environment
Ability to operate effectively in a fast-paced, high-growth setting
Familiarity with SOX, financial reporting data requirements, and audit support
Hands-on experience with modern data stacks (e.g., cloud data warehouses, BI tools, orchestration frameworks)
Demonstrated success scaling data capabilities alongside rapid business growth
Excellent written and verbal communication skills

Job Responsibility

Define and execute the enterprise data management and analytics strategy aligned with business objectives and growth plans
Serve as the senior leader for enterprise data architecture, data governance & privacy, analytics, and data science capabilities
Establish operating models, standards, and best practices suitable for a growing public company
Build, lead, and mentor a high-performing team of data architects and data scientists
Own the enterprise data architecture, including data models, integration patterns, and analytics platforms
Ensure scalable, secure, and reliable data pipelines across internal and external data sources
Partner with engineering and IT teams on cloud data platforms, tooling, and technology roadmaps
Drive simplification and modernization of data systems as the company scales
Establish and oversee enterprise data governance, including data ownership, stewardship, metadata, and lineage
Ensure data quality, consistency, and integrity across enterprise systems

What we offer

Equal-opportunity employer committed to creating a diverse and inclusive workplace
Reasonable accommodations for applicants with physical or mental disabilities, and those with sincerely held religious beliefs

Fulltime

Head of Quality – Customer Reporting and Data Analytics

As Head of Quality – Customer Reporting and Data Analytics, your primary goal wi...

Location

United States , Miami, FL / Boston

Salary:

Not provided

Everseen

Expiration Date

Until further notice

Requirements

10+ years of experience in data analytics, business intelligence, or data product management
At least 3 years in a leadership or head-of-function role
Proven experience delivering data or analytics products to enterprise customers, ideally in retail, AI, or SaaS environments
Deep understanding of data quality frameworks, reporting pipelines, and analytics visualization platforms (e.g., Tableau, Power BI, Looker, or similar)
Strong familiarity with data engineering workflows (ETL, data modeling, API integrations)
Experience leading cross-functional collaboration across product, engineering, and commercial teams
Exceptional analytical, strategic thinking, and communication skills
Knowledge of retail operations, shrinkage, and loss prevention analytics
Proven ability to build scalable reporting and analytics products from concept to market

Job Responsibility

Build and own the Customer Intelligence Product Line that delivers actionable insights derived from Everseen’s AI platform and integrated third-party data sources
Define and maintain data quality and reporting standards to ensure reliable, consistent, and accurate insights for all customer-facing analytics products
Collaborate cross-functionally with the Data & Intelligence, Engineering, Research, Operations, and Sales & Marketing teams
Champion quality and continuous improvement, ensuring data integrity, performance consistency, and adherence to regulatory or contractual data standards
Develop and manage KPIs for intelligence product adoption, customer satisfaction, and product quality
Partner with Sales and Customer Success to translate intelligence insights into customer value stories and revenue opportunities
Lead a small but growing team of data quality analysts, reporting specialists, and data product managers as the product line scales

Fulltime

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Head of Data & Analytics

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