Lead Director, Data Science Job at CVS Health (New York)

Director, Data Science

Imagine being the Director, Data Science at Clio, the legal software company tha...

Location

United States

Salary:

240700.00 - 360900.00 USD / Year

Clio

Expiration Date

Until further notice

Requirements

Graduate degree in Computer Science, Engineering, Statistics or a related field
10+ years extensive experience building and scaling a data science function in a high-growth environment
10+ years extensive experience managing data, analytics, and engineering teams with 10+ direct and indirect reports
15+ years extensive hands-on experience with a wide range of data science and machine learning techniques, including classification, regression, time series forecasting, natural language processing, and unsupervised learning
Experience reporting and presenting to senior business stakeholders
Experience leading go-to-market initiatives and partnering with product development teams
Experience with putting data science solutions in production and maintaining them
Strong storytelling skills with the ability to coach and teach best practices, and to explain technical analyses to non-technical audiences
Growth mindset when it comes to process improvement and new technologies, especially AI

Job Responsibility

Define and implement Clio’s data science strategy that aligns with Clio’s business objectives, including revenue growth, customer retention, and operational efficiency
Establish an impact-driven prioritization framework and a comprehensive data science roadmap, with clear business cases for all initiatives
Lead, manage, mentor, and grow a team of data scientists, and establish clear technical and professional development plans
Foster strong collaboration across the Data & Analytics org, including with data modeling, business intelligence, data engineering, and operations analytics teams
Partner with product teams to embed predictive and prescriptive analytics to improve customer experience and product adoption
Be an active participant and contributor on the Business Operations Leadership Team and Extended Leadership Team (comprised of senior leaders Director+)
Expand existing data science models to analyze customer behavior and predict their needs, interest, and readiness, and enable go to market teams to tailor their strategies
Deploy machine learning models in production, ensuring scalability, reliability, and continuous monitoring of their performance
Keep up-to-date with the latest developments in AI, and establish Clio as a thought leader in reusable data and analytics solutions, actively implementing and contributing to industry best practices
Serve as a strategic voice and partner for senior leaders and executives, including educating the business on best practices and path to implement repeatable analytics and reporting

What we offer

Competitive, equitable salary with top-tier health benefits, dental, and vision insurance
Hybrid work environment, with expectation for local Clions (Vancouver, Calgary, Toronto, Dublin and Sydney) to be in office minimum twice per week
Flexible time off policy, with an encouraged 20 days off per year
EAP benefits for you and household members, including counseling and online resources
401k matching and Child Education Savings
Clioversary recognition program with special acknowledgement at 3, 5, 7, and 10 years

Fulltime

It Director – Data Programs

We are seeking a dedicated IT Director (Data Programs) with at least a PhD or ma...

Location

United States , Metairie

Salary:

Not provided

BOLLINGER MISSISSIPPI SHIPBUILDING LLC

Expiration Date

Until further notice

Requirements

Minimum PhD or master’s degree in data sciences, Computer Science, or Mathematics
10–15+ years of progressive experience in data management, analytics, or leadership
Strong knowledge of data governance, metadata management, and MDM
Hands-on experience with cloud data platforms (Azure, AWS, or Google Cloud)
Understanding of IoT, digital twins, and Industry 4.0 technologies
Excellent communication, change management, and cross-functional leadership skills
Strategic thinking and business acumen
Relationship and stakeholder management
Enterprise systems expertise
Change leadership and communication

Job Responsibility

Develop and execute a comprehensive enterprise data strategy aligned with business, IT, and engineering goals
Establish and oversee data governance frameworks, policies, and standards for quality, ownership, and compliance
Champion a data-driven culture, enabling leaders and engineers to make informed decisions based on reliable insights
Define and manage the company’s data architecture roadmap—including integration with ERP, PLM, MES, and CAD systems
Oversee data architecture design across ship design systems, IoT/SCADA, and production operations
Manage data lifecycle processes—collection, storage, cleansing, classification, and archival
Implement data lakes, data warehouses, and cloud-based analytics platforms for enterprise use
Ensure interoperability between engineering data (3D modeling, CAD/BIM), production data, and financial systems
Lead the data analytics and AI initiatives supporting predictive maintenance, supply chain optimization, and performance analytics
Oversee development of dashboards, KPIs, and data visualization tools for executives and project managers

What we offer

Competitive Pay
Comprehensive Benefits Package
Hybrid Schedule Available
Career Development
Cutting-Edge Projects
Positive Work Environment & Company Values

Data Engineering & Analytics Lead

Premium Health is seeking a highly skilled, hands-on Data Engineering & Analytic...

Location

United States , Brooklyn

Salary:

Not provided

Premium Health

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, or a related field. Master's degree preferred
Proven track record and progressively responsible experience in data engineering, data architecture, or related technical roles
healthcare experience preferred
Strong knowledge of data engineering principles, data integration, ETL processes, and semantic mapping techniques and best practices
Experience implementing data quality management processes, data governance frameworks, cataloging, and master data management concepts
Familiarity with healthcare data standards (e.g., HL7, FHIR, etc), health information management principles, and regulatory requirements (e.g., HIPAA)
Understanding of healthcare data, including clinical, operational, and financial data models, preferred
Advanced proficiency in SQL, data modeling, database design, optimization, and performance tuning
Experience designing and integrating data from disparate systems into harmonized data models or semantic layers
Hands-on experience with modern cloud-based data platforms (e.g Azure, AWS, GCP)

Job Responsibility

Collaborate with the CDIO and Director of Technology to define a clear data vision aligned with the organization's goals and execute the enterprise data roadmap
Serve as a thought leader for data engineering and analytics, guiding the evolution of our data ecosystem and championing data-driven decision-making across the organization
Build and mentor a small data team, providing technical direction and performance feedback, fostering best practices and continuous learning, while remaining a hands-on implementor
Define and implement best practices, standards, and processes for data engineering, analytics, and data management across the organization
Design, implement, and maintain a scalable, reliable, and high-performing modern data infrastructure, aligned with the organizational needs and industry best practices
Architect and maintain data lake/lakehouse, warehouse, and related platform components to support analytics, reporting, and operational use cases
Establish and enforce data architecture standards, governance models, naming conventions ,and documentation
Develop, optimize, and maintain scalable ETL/ELT pipelines and data workflows to collect, transform, normalize, and integrate data from diverse systems
Implement robust data quality processes, validation, monitoring, and error-handling frameworks
Ensure data is accurate, timely, secure, and ready for self-service analytics and downstream applications

What we offer

Paid Time Off, Medical, Dental and Vision plans, Retirement plans
Public Service Loan Forgiveness (PSLF)

Fulltime

Director, Applied Science

The Machine Learning team at Viant is revolutionizing the Ad Tech industry with ...

Location

United States , Irvine

Salary:

220000.00 - 260000.00 USD / Year

Viant

Expiration Date

Until further notice

Requirements

10+ years of experience in machine learning
at least 5+ years leading and scaling high-performing teams
Bachelor’s degree in Computer Science, Engineering, or a related field
Master’s degree preferred
Strong expertise in developing and applying machine learning models for real-world business applications
Proven ability to deliver results at scale through innovation and operational excellence
Exceptional problem-solving skills and the ability to tackle challenges not previously solved in the industry
Demonstrated track record of fostering collaboration across technical and business teams

Job Responsibility

Provide strategic and technical leadership to the Machine Learning Engineering team
Own the end-to-end development, deployment, and maintenance of machine learning models
Develop and coach a team of machine learning engineers
Apply advanced machine learning techniques to solve problems such as content demand forecasting, incremental value measurement, and personalization
Collaborate with cross-functional teams to deliver actionable insights and guide strategic decisions
Drive innovation by researching and implementing new methodologies
Build and nurture relationships with stakeholders

What we offer

fully paid health insurance
paid parental leave
unlimited PTO

Director, Data Operations

As the Director of Data Operations, you will lead a high-performing team of Tech...

Location

United States , New York; Oakland

Salary:

177000.00 - 234000.00 USD / Year

SiriusXM

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field
10+ years relevant experience in data operations, data engineering or systems architecture
5+ years of people leadership, with a track record of building, coaching, and scaling high-performing teams in data or platform environments
Strong command of the modern data stack, including Snowflake, dbt, Git, orchestration tools, and semantic layer platforms
Proven leadership experience managing cross-functional analytics teams in an enterprise environment
Deep understanding of dimensional modeling, metric standardization, and semantic architecture design
Excellent written and verbal communication skills, with a passion for making data accessible and actionable
Must have legal right to work in the U.S.

Job Responsibility

Manage a team of senior and mid-level data operations analysts, providing technical guidance, mentorship, and performance management
Contribute to talent growth and team development, recruiting and mentoring future data operations and analytics professionals
Align technical execution with the product roadmap and vision, ensuring KPI metrics and requirements are well-defined and actionable
Work across a wide range of enterprise data tools and platforms, leveraging transformation technologies like DBT and visualization tools such as Looker and Tableau
Oversee implementation and scaling of the semantic layer platform, working cross-functionally to deliver trusted and accessible data assets
Partner with data engineering, product, and analytic teams to ensure solution designs meet evolving business needs and technical scalability
Prioritize team workload across projects, balancing tactical delivery with long-term systems and data platform evolution
Establish and enforce technical best practices around dbt, testing frameworks, CI/CD, and Git workflows
Review and guide the development of data pipeline requirement documentation, process models, and architectural recommendations
Manage and analyze large-scale data volumes (1+ PB) across complex ecosystems that power streaming, podcasting, satellite, publisher, and advertiser use cases

What we offer

discretionary short-term and long-term incentives

Fulltime

Associate Director, Data Strategy

We’re looking for an Associate Director of Data Strategy to join our fast-growin...

Location

United States

Salary:

120000.00 - 135000.00 USD / Year

Wpromote

Expiration Date

Until further notice

Requirements

6+ years experience working in digital media and marketing environment
6+ years experience working with media data
Strong client-facing experience at a digital media or performance marketing agency or similar environment
Experience or familiarity with statistical concepts
Experience or familiarity with marketing analytics including Media Mix Modeling, Multi-Touch Attribution, and Incrementality Testing
Ability to collaborate with technical teams to define requirements for building data models and analytics for digital marketing by defining all the relevant KPIs and data sources, finding the best path for piping all relevant data into a database, and defining business rules for output in visualizations and advanced analysis
Strong proficiency in Excel, Google Sheets, and Google Slides
Excellent verbal communication skills, with the ability to understand the technical detail behind data utilization for digital marketing and the ability to explain it simply to non-technical audiences
Excellent project management skills, with the ability to work efficiently across multiple teams, clients, and timelines simultaneously
Experience with Customer Data Platforms such as Tealium or Segment

Job Responsibility

Serve as a thought leader on marketing measurement strategy, helping clients understand and operationalize advanced analytics solutions
Lead cross-functional strategic engagements across MMM, incrementality testing, causal impact analysis, and holistic measurement frameworks
Translate complex statistical concepts into actionable insights, recommendations, and value add for non-technical stakeholders
Design and oversee robust measurement frameworks that span multiple solutions (MMM, MTA, lift tests, attribution, etc.)
Partner with internal teams (data science, media, strategy, client success, Analytics Engineering, etc.) to ensure alignment between analytical rigor and marketing objectives
Work closely with paid media buyers to support analysis of performance measurement and utilize measurement solutions to define methods for optimizing campaign outcomes
Run weekly project management sprint sessions with cross-functional technical teams on dedicated clients as needs emerge or evolve, seeing tasks through to completion efficiently to improve the overall cycle time on task completion
Directly communicate with clients and internal stakeholders on data needs within your portfolio or tasks coming from the support queue
Partner with Data Strategy & Analytics leadership to design processes to efficiently deliver cohesive Data Strategy & Analytics services across technical teams to clients and internal stakeholders
Identify new measurement needs for our clients and work with cross-departmental teams to develop new solutions that can be delivered to clients at scale

What we offer

Remote-first culture
Unlimited PTO
Extended Holiday break (Winter)
Flexible schedules
Work from anywhere options*
100% paid parental leave
401(k) matching
Medical, Dental, Vision, Life, Pet Insurance
Sponsored life insurance
Short Term Disability insurance and additional voluntary insurance

Fulltime

Global Category Associate Director- Data Analytics and AI Platforms

We are seeking an individual who thrives in ambiguity, capable of driving catego...

Location

India , Hyderabad

Salary:

Not provided

Amgen

Expiration Date

Until further notice

Requirements

Familiarity with procurement platforms such as Ariba, as well as ERP systems and advanced analytics tools to support decision-making and process automation
Excellent problem solving and organizational skills
Experience leading large, cross-functional teams and managing complex global projects in a matrixed environment
Experience managing analytics and AI/ML software procurement
Understanding of cloud data ecosystems (e.g., Snowflake, Databricks, AWS/Azure/Google AI)
Strong analytical skills with ability to assess large data sets and supplier performance
Doctorate degree and 14 years of Global Strategic Sourcing, Procurement or Commercial experience OR Master’s degree and 15 to 17 years & above experience of Global Strategic Sourcing, Procurement or Commercial experience OR Bachelor’s degree and 17-18 years of Global Strategic Sourcing, Procurement or Commercial experience
And 2 years of managerial experience directly managing people and/or leading teams, projects, or programs.

Job Responsibility

Lead and evolve the category strategy for Data Analytics and AI Platforms, enabling Amgen to leverage data-driven insights across R&D, Commercial, Operations and G&A functions
Partner with Digital, Data Science, and IT leaders to standardize platforms such as data lakes, analytics, and AI/ML environments
Evaluate emerging suppliers in data, AI, and predictive analytics to incorporate innovation responsibly
Design contracts balancing access to innovation with compliance, governance, and cost efficiency
Develop multi-year sourcing roadmaps to ensure data and AI platforms meet enterprise growth and compliance needs
Provide strategic oversight as the global lead for Software category and sourcing, ensuring alignment between category strategies and Amgen’s evolving business needs
Act as a trusted advisor to ensure that procurement initiatives are aligned with broader organizational objectives
Guide and facilitate collaboration across cross-functional teams and regional stakeholders
Ensure that all Software procurement activities are managed in compliance with regulatory, contractual, and operational risk requirements
Partner with Legal, Compliance, Data Privacy, and Cybersecurity teams to maintain oversight of risk mitigation strategies

Sr. Director, Product Management for Data & AI, Security and HSI

The Sr. Director of Product Management will lead the strategy and execution of T...

Location

United States , Bellevue

Salary:

207700.00 - 280900.00 USD / Year

T-Mobile

Expiration Date

Until further notice

Requirements

More than 10 years Product Management experience in an agile software product development environment preferably in a large consumer organization with millions of consumer applications and an advanced level understanding of superior customer experiences
5+ years of experience in AI, data science, and analytics
Expertise in LLMs and Generative AI field
Experience leading digital applications and successfully launching Data & AI products in the market at large scale
Background working with Engineering and a strong understanding of the role of engineering in product development
10+ years of experience in leading strategy, innovation, and data products
Advanced knowledge of data tools, techniques, and manipulation including cloud platforms, programming languages, and technology platforms
5+ years leading and developing teams of 5 or more Manager level direct reports with skip-level employees
Bachelor's Degree in Computer Science, Engineering, IT or equivalent
Demonstrated experience driving enterprise data, analytics, and insights solutions and other technologies

Job Responsibility

Develop the data products that empower digital customer experiences to be contextual and personal, revamping and redesigning journeys using the new AI experiences
Define the overall strategy for how to build and deliver the best experience to our existing users and grow the strategic areas in the T-Life Super App and T-Shop on web
Build a Data & AI and Security platform for all Magenta users including Postpaid, Prepaid, TFB Micro and HSI
reusing the platform for Metro users to build the same capabilities in the new MyMetro App
Enable all the core HSI (High Speed Internet) consumer experiences into one single platform available across Magenta and Metro brands
Oversee Security Products for ScamSheild, P360, device diagnostics, VPN, credit monitoring etc. in T-Life to ensure that we can fully fill our promise of “Peace of mind” in the T-Life app
Develop and maintain strategic partnerships with senior internal and/or external customers
Creates, plans, and owns a portfolio of high-quality products & services through a lifecycle of envisioning/investing/innovating
Champion and communicate information and AI product value and other key performance indicators to partners and team members
Develop change management and communication plans and execute connected with customer change initiatives

What we offer

medical, dental and vision insurance
a flexible spending account
401(k)
employee stock grants
employee stock purchase plan
paid time off
up to 12 paid holidays
paid parental and family leave
family building benefits
back-up care

Fulltime

Lead Director, Data Science

CVS Health

Location:
United States , New York

Category:
IT - Software Development

Contract Type:
Employment contract

Salary:

Job Description:

Job Responsibility:

Requirements:

Additional Information:

Job Posted:
August 31, 2025

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