Senior Manager, Data Science - AI Foundations Job at Capital One (McLean)

Director of Data Science & AI

We are seeking a Director of Data Science and AI, Recommender Systems and Martec...

Location

Spain , Barcelona

Salary:

Not provided

Delivery Hero

Expiration Date

Until further notice

Requirements

Extensive Leadership Experience: Demonstrated track record of building and scaling high-performing data science and AI teams from the ground up, with proven success deploying production-grade models in domains such as Recommendation Systems, E-commerce, or Marketing Science
Advanced Academic Background: A master’s degree or higher in a quantitative field such as Computer Science, Statistics, Mathematics, Physics, or a related discipline
Deep Technical Proficiency: Strong technical foundation as a previous individual contributor
ability to engage technically with the team's stack in Python and SQL, and critically evaluate work across deep learning frameworks (PyTorch, TensorFlow, or JAX) and data orchestration at scale (PySpark, Airflow)
Cloud-Scale Personalization Expertise: Demonstrated expertise in managing and deploying large-scale AI solutions within cloud environments (GCP/AWS), specifically handling high-volume behavioral data and real-time event streams
Strategic Communication: Exceptional ability to translate complex AI concepts and algorithmic trade-offs into clear business implications for senior leadership and non-technical stakeholders

Job Responsibility

Advanced Personalization & Discovery: Proven ability to guide and evaluate architectures in designing architectures for discovery, including deep learning models such as Two-Tower models, and Transformers for session-based behavior, to ensure users find relevant vendors instantly upon entering the platform
Acquisition-Focused Martech: Deep understanding of applying statistics and causal inference to optimize the top of the marketing funnel. This includes building models for Media Mix Modeling (MMM), automated bidding for performance channels (SEM, Paid Social), and predictive Long-Term Value (LTV) to guide acquisition strategy
Causal Inference & Incremental Growth: Deep understanding of establishing frameworks to measure the true incrementality of marketing spend and recommendation features
Cross-Functional Growth Leadership: Demonstrated ability to collaborate and align effectively across Growth Marketing, Performance Marketing, and Product Engineering teams to drive shared goals around efficient scaling and market expansion
Scalable MLOps for Real-Time Bidding & Ranking: Proven leadership in developing high-throughput data and feature pipelines. Ensure the efficient training and deployment of models that can handle massive external signals from marketing platforms and internal real-time user data
Technical Vision and Strategic Roadmap: Maintain knowledge at the forefront of AI/ML trends in both Recommendations and Growth Tech. Actively drive the team to adopt cutting-edge methodologies in generative content for ads and automated data quality monitoring
Agentic Modeling & DS Excellence: Lead the strategic adoption of agentic AI frameworks across your org. This involves designing autonomous and semi-autonomous AI agents capable of reasoning and tool-use to automate complex acquisition workflows—such as autonomous campaign optimization and self-healing data pipelines—while establishing rigorous guardrails for safety, reliability, and ethical governance

Parttime

Senior Manager, Data & Analytics

The Senior Manager, Data & Analytics (D&A) is responsible for leading the develo...

Location

United States , Chicago

Salary:

121800.00 - 182600.00 USD / Year

Ardagh Group

Expiration Date

Until further notice

Requirements

Minimum Bachelor’s degree in data science, statistics, finance or accounting
7+ years of experience in data analytics, with relevant financial experience
Familiarity with data analysis tools and languages such as SQL, Excel, Python, or R
Experience with visualization tools such as PowerBI or Tableau
Familiarity with statistical methods and data modelling techniques
Experience in Manufacturing industry a plus
SAP experience a plus
Self-starter with strong results orientation
Collaborative style with proven written and verbal communication skills

Job Responsibility

Develop and implement a comprehensive data and analytics strategy that supports the company’s financial and business goals
Support the transformation of the finance function and other departments through advanced analytics
Co-create D&A strategy with the IT Function to ensure data foundations are set to enable analytics initiatives
Collaborate with leadership to identify and prioritize key financial analytics initiatives
Enable reporting automation by developing and maintaining dashboards using data visualization tools that communicate key performance indicators (KPIs) and insights to stakeholders
Work closely with the CEO, CFO and other members of the leadership team to establish and coordinate the AI Governance Council
Own and advance the Technology Roadmap, ensuring alignment with business strategy and enterprise architecture
Establish and enforce data governance policies and procedures within Finance
Ensure the accuracy, consistency, and reliability of all data used for analysis and reporting
Act as Finance Lead/ owner of financial systems (HFM, Tagetik)

What we offer

Medical, prescription, dental and vision plans
Flexible Spending Accounts (FSA)
Life insurance
401(k) retirement plan with company match
Paid holidays and vacation
Short- and Long-Term Disability (STD/LTD)
Employee Assistance Program (EAP)
Apprenticeship programs
Professional and personal development opportunities through Employee Resource Groups

Fulltime

Senior Manager, Data Engineer

The Global Commercial Analytics (GCA) team within the organization is dedicated ...

Location

India , Mumbai

Salary:

Not provided

Pfizer

Expiration Date

Until further notice

Requirements

Bachelor’s, Master’s, or PhD in Computer Science, Statistics, Data Science, Engineering, or a related quantitative field
9+ years of experience in Data or Analytics Engineering
Strong Python Skills: Proven ability to write clean, performant, and maintainable Python for data engineering, with proficiency in libraries like Polars, Pandas and Numpy
Modern Data Stack & Systems: Extensive hands-on experience with large-scale distributed systems, including dbt, Airflow, Spark, and Snowflake
Data Modeling & Databases: A strong background in building and managing complex data models and warehouses, with experience across both SQL and NoSQL databases
Data Quality & Observability: Experience implementing and managing frameworks for data quality testing, observability, and alerting
Modern Software Development: Solid experience with modern software development workflows, including Git, CI/CD, and Docker, to automate analytics processes
Project Leadership: Experience mentoring other engineers and leading technical projects

Job Responsibility

Advanced Layer Development: Leads the development of core data components for our advanced analytics layer and agentic data layers, enabling next-generation analytics and AI tools
Data Strategy Execution: Works closely with cross-functional teams to help execute the enterprise Data Strategy, translating roadmaps into technical designs and building solutions using standard technology stacks
Building AI & RAG Pipelines: Designs and builds end-to-end data pipelines and products specifically to power advanced AI and Retrieval-Augmented Generation (RAG) applications for the Commercial Pharma domain
Enabling Advanced Analytics: Builds the clean, reliable data foundation that enables the use of statistical analysis, machine learning, and AI models like RAG to uncover patterns and insights
Business Impact: Delivers the high-quality, performant data that forms the basis of meaningful recommendations and drives concrete strategic decisions for brand and commercial strategy
Innovation: Stays abreast of analytical trends and cutting-edge applications of data science and AI, including RAG and agentic systems, actively applying new techniques and tools to improve data pipelines
Quality & Governance: Implements and adheres to best practices in data management, model validation, and ethical AI, maintaining high standards of quality and compliance in all developed solutions

Fulltime

Senior Manager, AI Governance

Leads the responsible and ethical use of Artificial Intelligence across our orga...

Location

United States , Houston

Salary:

Not provided

Sysco

Expiration Date

Until further notice

Requirements

Master’s degree from an accredited institution in a relevant field such as Computer Science, Engineering, Law, or Public Policy
Seven (7) years in a governance-focused role, with a strong background in legal, compliance, or data governance
Demonstrated ability to implement significant change projects, successfully integrating new governance practices into existing organizational structures
Practical experience in building and managing comprehensive project and program plans, including defining scope, objectives, and resource requirements
A track record of establishing a strong foundation for data quality and governance, treating data as a valuable organizational product
Experience in AI risk management, including the ability to identify potential risks, establish mitigation plans, and integrate compliance measures
Technical Acumen: A strong understanding of AI technologies and machine learning models, as well as their ethical implications
Legal & Regulatory Expertise: Comprehensive knowledge of relevant laws and industry standards for AI ethics, data protection, and privacy (e.g., EU AI Act, NIST AI Risk Management Framework)
Leadership & Strategic Thinking: Demonstrated leadership skills with the ability to influence and drive organizational change
Communication: Exceptional communication and stakeholder management skills, with the ability to articulate complex technical and ethical concepts to diverse audiences

Job Responsibility

Drive Framework Implementation and Enhancement: Lead the planning and execution of our AI governance framework
Manage AI-Specific Risks: Proactively identify, assess, and mitigate risks related to algorithmic bias, data privacy, security, and operational vulnerabilities
Ensure Regulatory Compliance: Stay current with the evolving legal and regulatory landscape
Integrate with Data Governance: Work closely with our Data Governance team to ensure seamless alignment between our AI and data governance frameworks
Foster Cross-Functional Collaboration: Partner with data scientists, engineers, legal counsel, compliance officers, and senior leadership
Build an AI Inventory: Take the lead on creating and maintaining a comprehensive inventory of our AI models and applications
Drive Training and Awareness: Develop and deliver enterprise-wide training programs to raise awareness about AI risks, ethical considerations, and compliance requirements

Fulltime

Manager, Data Science

We’re looking for a Data Science Manager to architect and lead the next generati...

Location

United States , San Francisco

Salary:

187000.00 - 281000.00 USD / Year

GoFundMe

Expiration Date

Until further notice

Requirements

8+ years of experience in data science roles with direct impact on marketing, growth, or revenue optimization
Master’s or Ph.D. in a quantitative field (Statistics, Mathematics, Economics, Computer Science, Physics, Operations Research or related), or equivalent applied experience
Advanced proficiency in Python (NumPy, pandas, scikit-learn) and SQL (window functions, optimization)
Deep experience with experimentation frameworks: A/B testing, causal inference, uplift modeling, and attribution models
Proven success in forecasting, optimization, and budget allocation models for marketing and growth functions
Hands-on with data platforms (Snowflake, Databricks) and BI tools (Looker, Tableau, or equivalent)
Strong data storytelling and executive presentation abilities
Exceptional communication skills with the ability to influence executive stakeholders and translate data into actionable business recommendations
Experience developing senior data scientists and elevating team practices
Demonstrated ability to define a strategic vision for applied data science in marketing, balancing rapid experimentation with long-term infrastructure investments

Job Responsibility

Build a strong AI and data science foundation: Develop scalable pipelines, reusable modeling frameworks, and robust experimentation platforms to support marketing and growth decision-making
Lead end-to-end data science & AI projects: From requirements gathering through feature engineering, modeling, validation, deployment, and monitoring
Establish best practices: Champion standards in model governance, reproducibility, data quality, and system reliability to ensure sustainable and trustworthy AI adoption
Drive marketing science innovation: Apply advanced methods—causal inference, uplift modeling, multi-touch attribution, and media mix modeling—to unlock insights and optimize spend
Advance forecasting & ROI modeling: Deliver budget allocation frameworks and predictive models that guide long-term roadmap planning and marketing efficiency
Partner cross-functionally: Work closely with Marketing, Growth, Product, Engineering, and Finance leaders to align analytics initiatives with revenue impact
Invest in people: Mentor, coach, and elevate a team of high-performing data scientists
foster a culture of technical rigor, curiosity, and applied innovation
Push the frontier of applied AI in marketing: Evaluate emerging generative and predictive AI approaches for audience segmentation, creative optimization, personalization, and campaign efficiency

What we offer

Make an Impact: Be part of a mission-driven organization making a positive difference in millions of lives every year
Innovative Environment: Work with a diverse, passionate, and talented team in a fast-paced, forward-thinking atmosphere
Collaborative Team: Join a fun and collaborative team that works hard and celebrates success together
Competitive Benefits: Enjoy competitive pay and comprehensive healthcare benefits
Holistic Support: Enjoy financial assistance for things like hybrid work, family planning, along with generous parental leave, flexible time-off policies, and mental health and wellness resources to support your overall well-being
Growth Opportunities: Participate in learning, development, and recognition programs to help you thrive and grow
Commitment to DEI: Contribute to diversity, equity, and inclusion through ongoing initiatives and employee resource groups
Community Engagement: Make a difference through our volunteering program

Fulltime

Senior Manager, Embodied AI

We are seeking an experienced and technically strong Senior Engineering Manager ...

Location

United States , Sunnyvale

Salary:

296300.00 - 453900.00 USD / Year

General Motors

Expiration Date

Until further notice

Requirements

BS, MS, or PhD in Robotics, Computer Science, Engineering, or a related technical field
Proven experience managing and scaling high-performing engineering teams with a focus on operational excellence
Demonstrated ability to inspire and motivate teams, drive best practices, and deliver continuous improvement
Track record delivering scalable software solutions to a production environment using Python
Proven experience in solving data scaling challenges, ranging from data diversity, data quality and building best practices to incorporate multiple data sources in large models
Excellent communication, collaboration, and mentoring abilities, with a passion for driving innovation in autonomous technology
Strong organizational, communication, and people leadership skills

Job Responsibility

Manage a team of AI/ML engineers building and scaling the Data Flywheel at GM
Raise the engineering bar of the team: set best practices, give feedback, and provide mentorship to direct reports
Drive the technical vision for aspects of Data Foundations at GM, working with senior leaders and members of your team
Define the project roadmap, set development priorities, and align the team's work with company objectives and product milestones
Collaborate cross-functionally with teams involved in AV model development and validation and ensure we meet organizational goals, product requirements and scaling needs
Promote a collaborative, inclusive, and high-performance team culture, and champion the GM engineering values and principles

What we offer

medical
dental
vision
Health Savings Account
Flexible Spending Accounts
retirement savings plan
sickness and accident benefits
life insurance
paid vacation & holidays
tuition assistance programs

Fulltime

AI & Data Strategy Manager

As our AI & Data Strategy Manager, you will help accelerate Marshall Group’s per...

Location

Sweden , Stockholm

Salary:

Not provided

sa.global

Expiration Date

Until further notice

Requirements

Experience in Strategy, Digital Transformation, digital product ownership, Data, or similar fields
Strong understanding of Generative AI, Agentic AI, and emerging productivity technologies
Proven ability to turn business challenges into AI-enabled opportunities and deliver value outcomes
Skilled in leading change, influencing stakeholders, and simplifying complex topics
Familiarity with AI and automation tools (e.g., GPT-based tools, Power Automate, Claude, CoPilot)
A passion for music and the culture that drives Marshall
Bachelor’s or Master’s degree in business, Computer Science, Engineering, Data Science, or a related field
3–5+ years of relevant experience in Strategy, Digital Transformation, AI & Data Analytics, project management or operational excellence roles
Demonstrated experience implementing AI-enabled workflow improvements or productivity tools
Understanding the landscape of data fundamentals, cloud environments, and integration basics (no development experience expected)

Job Responsibility

Develop and maintain our AI & Data strategy with a clear focus on productivity, efficiency, and smarter processes
Spot high-value AI use cases across the business, using existing tools and third-party solutions—not by building custom AI agents or models
Lead cross-functional projects to deploy AI-enabled workflows and automations that drive measurable value
Enable adoption: build training, best-practice toolkits, and support teams as they integrate AI into daily work
Communicate progress and impact to senior leaders with clarity and insight
Partner with IT and Data teams to ensure the right data foundations and platforms are in place
Manage relationships with AI vendors and stay on top of emerging technologies and governance standards

What we offer

re-location support
visa/work permit application
local authority registration
home finding service

Manager of Data Science

The Manager of Data Science will lead a dynamic team of data scientists responsi...

Location

United States , Chicago

Salary:

84836.00 - 153548.75 USD / Year

Adtalem Global Education

Expiration Date

Until further notice

Requirements

Master's Degree Data Science, Computer Science, Statistics, Mathematics, or related quantitative field
7+ years Experience in data science or analytics roles
3+ years Experience leading technical teams and employees, either through direct People Management or through projects
Demonstrated success with agentic workflows and GenAI in data science product solutions
Strong analytical skills with a foundation in statistical techniques (e.g., regression, clustering, classification, Monte Carlo simulation)
Excellent understanding of machine learning techniques and algorithms, such as decision trees, RF, XGBoost, LightGBM, etc.
Advanced skills in programming and coding, data science toolkits, and query languages (e.g., Python, R, SQL, and Java)
Demonstrated experience with data analysis tools and platforms such as GCP (incl. Vertex AI and BigQuery) and SQL Server
Knowledge and familiarity with Power BI, Tableau, or comparable reporting and visualization platforms
Advanced applied statistics skills, such as distributions, statistical testing, regression, etc.

Job Responsibility

Manage, mentor, and develop a dynamic team of data scientists with diverse technical backgrounds
Develop and execute on projects and initiatives on the data science roadmap that align with business objectives
Collaborate with business leaders, key stakeholders, and cross-functional teams to identify high-impact opportunities for advanced analytics and translate business challenges into data science solutions
Lead and support various projects and initiatives, regularly managing competing priorities, deadlines, and expectations
Oversee the development of machine learning models, statistical analyses, and predictive algorithms
Drive innovation in modeling techniques, tools, and methodologies. Drive continuous improvement in team processes and methodologies
Ensure model quality, performance, and reliability through robust validation and testing frameworks
Establish best practices for model lifecycle management, including deployment, monitoring, and maintenance
Facilitate knowledge transfer and communicate complex technical concepts to non-technical audiences
Translate analytic findings into simple, actionable, and practical solutions and recommendations

What we offer

Health, dental, vision, life and disability insurance
401k Retirement Program + 6% employer match
Participation in Adtalem’s Flexible Time Off (FTO) Policy
12 Paid Holidays
Eligible to participate in an annual incentive program

Fulltime

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Senior Manager, Data Science - AI Foundations

Job Description

Job Responsibility

Requirements

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