Vp, It - Ai & Data Platforms Job at Baxter (Deerfield)

Vp, It - Ai & Data Platforms

This is where we value your strategic mindset, technical expertise and passion f...

Location

United States , Deerfield

Salary:

304000.00 - 380000.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor’s degree in Computer Science, Engineering, Data Science, or related field
advanced degree (MS, PhD, or MBA) strongly preferred
15–20 years of progressive experience across IT, data, analytics, and AI, including 10+ years in senior leadership roles leading global teams
Proven success defining and delivering enterprise AI and data strategies with measurable business impact
Deep experience across data platforms, analytics, AI/ML/GenAI, and AI governance
Proven effectiveness operating in highly regulated environments (medtech, healthcare, pharmaceutical, or life sciences preferred)
Strong track record of attracting, developing, and retaining top global talent

Job Responsibility

Define, own, and implement Baxter’s enterprise AI and data strategy aligned with business and IT priorities
Lead enterprise capabilities across data engineering and platforms, data integration, master data management, analytics, business intelligence, and AI delivery
Translate strategy into a multi‑year roadmap with clear business outcomes, investment priorities, and value realization
Drive AI and data science delivery across ML, advanced analytics, and Generative AI using modern MLOps and agile practices
Represent IT – AI and Data on AI Governance Council
Ensure data is trusted, governed, reusable, and AI‑ready, while championing ethical, responsible, and regulatory‑compliant AI
Partner closely with senior leaders across Supply Chain, Commercial, Finance, R&D, Manufacturing, Quality, Regulatory, HR, Legal, and IT
Build, develop, and lead a high‑performing, globally distributed organization
Serve as a senior advisor to executive leadership and represent Baxter with external partners, technology providers, and the broader AI ecosystem

What we offer

Paid Time Off
Employee Heath & Well-Being Benefits
Continuing Education/ Professional Development
Support for Parents
Employee Assistance Program
medical and dental coverage that start on day one
insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance
Employee Stock Purchase Plan (ESPP)
401(k) Retirement Savings Plan (RSP)
Flexible Spending Accounts

Fulltime

VP, IT - AI & Data Platforms

Location

United States , Deerfield

Salary:

304000.00 - 380000.00 USD / Year

Baxter

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Engineering, Data Science, or related field
advanced degree (MS, PhD, or MBA) strongly preferred
15–20 years of progressive experience across IT, data, analytics, and AI, including 10+ years in senior leadership roles leading global teams
Proven success defining and delivering enterprise AI and data strategies with measurable business impact
Deep experience across data platforms, analytics, AI/ML/GenAI, and AI governance
Proven effectiveness operating in highly regulated environments (medtech, healthcare, pharmaceutical, or life sciences preferred)
Strong track record of attracting, developing, and retaining top global talent

Job Responsibility

Define, own, and implement Baxter’s enterprise AI and data strategy aligned with business and IT priorities
Lead enterprise capabilities across data engineering and platforms, data integration, master data management, analytics, business intelligence, and AI delivery
Translate strategy into a multi‑year roadmap with clear business outcomes, investment priorities, and value realization
Drive AI and data science delivery across ML, advanced analytics, and Generative AI using modern MLOps and agile practices
Represent IT – AI and Data on AI Governance Council
Ensure data is trusted, governed, reusable, and AI‑ready, while championing ethical, responsible, and regulatory‑compliant AI
Partner closely with senior leaders across Supply Chain, Commercial, Finance, R&D, Manufacturing, Quality, Regulatory, HR, Legal, and IT
Build, develop, and lead a high‑performing, globally distributed organization
Serve as a senior advisor to executive leadership and represent Baxter with external partners, technology providers, and the broader AI ecosystem

What we offer

Paid Time Off
Employee Heath & Well-Being Benefits
Continuing Education/ Professional Development
Support for Parents
Employee Assistance Program
medical and dental coverage
insurance coverage for basic life, accident, short-term and long-term disability, and business travel accident insurance
Employee Stock Purchase Plan (ESPP)
401(k) Retirement Savings Plan (RSP)
Flexible Spending Accounts

Fulltime

Vp, Data & Ai Strategy & Design

The AI and Data Strategy organization (Chief AI and Data Office) is responsible ...

Location

United States of America , O'Fallon, Missouri; Purchase, New York

Salary:

194000.00 - 310000.00 USD / Year

Mastercard

Expiration Date

Until further notice

Requirements

Advanced expertise in AI, GenAI, & Agentic AI to drive innovative payment product designs
Strong understanding in data strategy, management, and governance
Exceptional leadership and influencing skills, with a proven track record of driving change and building consensus
Strong interpersonal and networking abilities
adept at building relationships across diverse teams and geographies
Demonstrated experience facilitating AI design workshops and drafting AI design documents
Experience applying AI design thinking to solve complex business challenges, inclusive of Generative AI and Agentic
High level understanding of technical and infrastructure requirements for AI solutions
Excellent written and oral communication skills
able to present complex concepts clearly and persuasively

Job Responsibility

Lead and Influence: Provide visionary leadership across product teams and business units, driving adoption of AI including agentic design thinking in payments innovation
AI Design Thinking: Champion AI design thinking methodologies to unlock innovative solutions and drive business impact
Facilitate AI Design Workshops: Organize and lead AI design workshops, fostering collaboration and creativity to develop actionable frameworks and solutions
Draft AI Design Documents: Author and maintain comprehensive AI design documents that guide product development and strategic decision-making
Data Strategy and Management: Embed data design thinking and strategies, ensuring high-quality data acquisition, governance, and utilization to support AI and payments innovation
Strategic Partnerships: Build and nurture strong relationships with internal and external stakeholders to advance Mastercard’s AI and data strategy
Thought Leadership: Serve as a subject matter expert in AI & Data, sharing insights and best practices to elevate organizational knowledge and capability
Technical & Infrastructure Expertise: Assess and defines the high level technical and infrastructure requirements necessary to build and deploy robust AI designs, including cloud platforms, data pipelines, integration frameworks, and security protocols
Cross-Functional Collaboration: Work closely with technology, product, finance, and operations teams to ensure AI solutions are feasible, scalable, and aligned with business objectives
Payments Expertise: Apply deep understanding of card payments, with strong preference for experience in both B2B commercial payments and consumer payments

What we offer

insurance (including medical, prescription drug, dental, vision, disability, life insurance)
flexible spending account and health savings account
paid leaves (including 16 weeks of new parent leave and up to 20 days of bereavement leave)
80 hours of Paid Sick and Safe Time, 25 days of vacation time and 5 personal days, pro-rated based on date of hire
10 annual paid U.S. observed holidays
401k with a best-in-class company match
deferred compensation for eligible roles
fitness reimbursement or on-site fitness facilities
eligibility for tuition reimbursement

Fulltime

Senior VP - Data Science & Gen AI

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 12+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s or master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus
Model execution and governance experience in any domain will be preferable
Proven track record of building and deploying generative models-based solutions in production environments particularly using RAG frameworks, few shot prompts, etc.
At least 8 years of people management experience

Job Responsibility

Lead as SME in the area of ML/AI/Gen AI
Lead a team of data scientists with primary responsibility of working on various tools and technologies for successful development and implementation of ML /AI/Gen AI models on different platforms
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensure 100% execution accuracy
Customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements
Provide thought leadership for all data solution that includes designing, developing, and implementing Machine Learning/AI/Gen AI solutions
Communicate complex analytical concepts and results to both technical and non-technical audiences
Establish governance frameworks for model development, deployment, and monitoring to meet MRM and Fair Lending guidelines
Continuously evaluate and improve model monitoring & governance processes
Oversee the end-to-end model development lifecycle from data collection and preprocessing to model building, validation, and deployment

Fulltime

Senior GenAI Data VP – Market Data

Embark on a transformative journey as a Senior GenAI Data VP – Market Data at Ba...

Location

United States , Whippany

Salary:

170000.00 - 230000.00 USD / Year

Barclays

Expiration Date

Until further notice

Requirements

Experience with design and delivery of GenAI data architectures, including agentic workflows, RAG pipelines, prompt orchestration, and tool calling frameworks
Ability to manage strategy and integration of market data platforms (FactSet, LSEG, Bloomberg, S&P Capital IQ), ensuring high quality ingestion, normalization, enrichment, and access for analytics and GenAI use cases
Experience with designing and overseeing scalable GenAI and machine learning data pipelines, supporting structured and unstructured data across the full AI lifecycle
Ability to establish and embed data quality, lineage, privacy, and compliance controls to ensure responsible AI use and regulatory alignment
Stakeholder management skills to support business, product, engineering, and data science teams to identify high impact GenAI use cases and translate them into production grade solutions, defining best practices for evaluation metrics, MCP integration, and scalable data integration across GenAI systems

Job Responsibility

Build and maintenance of data architectures pipelines that enable the transfer and processing of durable, complete and consistent data
Design and implementation of data warehoused and data lakes that manage the appropriate data volumes and velocity and adhere to the required security measures
Development of processing and analysis algorithms fit for the intended data complexity and volumes
Collaboration with data scientist to build and deploy machine learning models

What we offer

medical, dental and vision coverage
401(k)
life insurance
other paid leave for qualifying circumstances
incentive award
competitive holiday allowance
private medical care
pension contribution

Fulltime

Vp - Ai Security & Risk Manager

The Technology department at our client is responsible for creating and continuo...

Location

United States , New York

Salary:

150000.00 - 175000.00 USD / Year

Renner Brown

Expiration Date

Until further notice

Requirements

Bachelor's degree in Computer Science, Information Security, Data Science, or a related field
advanced degree a plus
At least 7–10 years of experience in information security, technology risk, or a related field, with a minimum of 3 years focused on AI systems, machine learning security, or AI governance
Deep understanding of the AI and LLM landscape, including foundation model architecture, agentic systems, RAG pipelines, and the risk implications of each
Hands-on experience evaluating AI platforms and products, including the ability to assess vendor claims about model behavior, data handling, and security controls with appropriate skepticism
Familiarity with AI risk frameworks and emerging standards, including NIST AI RMF, MITRE ATLAS, OWASP LLM Top 10, and ISO/IEC 42001
Experience with vendor risk management in a regulated financial services environment, including contract negotiation support and third-party security assessments
Knowledge of relevant regulatory frameworks including DORA, SOX, SEC cybersecurity disclosure rules, and GDPR/CCPA as they apply to AI data flows
Strong technical skills sufficient to evaluate AI system architecture, API security, data pipeline design, and access control models without reliance solely on vendor documentation
Excellent communication skills, with the ability to translate highly technical AI risk concepts into clear, decision-ready language for senior leadership, Legal, and Compliance

Job Responsibility

Own and maintain the firm's AI risk framework, covering model risk, data privacy, adversarial threats, third-party AI, and regulatory compliance
Develop and enforce AI usage policies in collaboration with Legal and Compliance, including acceptable use, data classification requirements, and prompt handling standards
Maintain an inventory of AI tools deployed firm-wide — both sanctioned and shadow — and assess associated risk profiles
Provide regular AI risk reporting to the Head of Technology Risk and senior leadership, including emerging threat trends, vendor posture changes, and control gaps
Monitor the evolving regulatory environment for AI (EU AI Act, SEC guidance, DORA, NY DFS) and advise on compliance obligations and required controls
Lead security and risk assessments of vendors introducing AI capabilities into existing or new platforms, including evaluating model transparency, data handling practices, and auditability
Develop and maintain a structured AI vendor evaluation framework, incorporating criteria for model governance, output reliability, data residency, and incident response obligations
Partner with Procurement and Legal to ensure AI-specific provisions are reflected in vendor contracts, including data usage restrictions, model change notifications, and liability terms
Maintain a tiered risk register of third-party AI integrations, with ongoing monitoring for material changes to vendor AI functionality, architecture, or ownership
Engage directly with vendor security and product teams to assess AI-related controls and drive remediation of identified gaps

Fulltime

Vp Data

The VP Data is a critical senior leadership role responsible for defining, build...

Location

United States

Salary:

192942.00 - 308708.00 USD / Year

One Call

Expiration Date

Until further notice

Requirements

Bachelor’s Degree in Computer Science, Information Systems, Engineering, Data Science, or related field
advanced degree preferred
10+ years of progressive experience in enterprise data management and leadership roles
Experience building and governing cloud-based data platforms
Strong knowledge of healthcare or service-oriented operational businesses preferred
Ability to design and deliver large-scale data strategies
Expertise in cloud platforms, modern data architectures, and engineering patterns
Strong background in governance, Master Data Management (MDM), metadata, lineage, and data quality
Excellent leadership, communication, and stakeholder management capabilities
Strong analytical and strategic thinking skills

Job Responsibility

Define and execute the enterprise data strategy in alignment with corporate objectives and One Call’s AI strategy
Establish a modern, cloud-native enterprise data architecture that scales and integrates with the care coordination platform
Develop and communicate the long‑term data roadmap, prioritizing investments that enhance data accessibility, quality, and governance
Serve as a strategic advisor to executive leadership, ensuring data capabilities advance business goals
Architect core data platforms including our data lake, streaming pipelines, ingestion frameworks, semantic layers, and metadata systems
Design and maintain a unified enterprise data model enabling analytics, automation, and AI readiness
Ensure delivery of highly available pipelines and data services powering business applications and workflows
Lead governance programs ensuring data accuracy, consistency, and compliance
Establish stewardship roles ensuring accountability for data quality
Implement strong privacy, security, and access controls

What we offer

Remote Work: We are a remote-first company, and almost all positions receive the flexibility of working from home
Generous Time Off: Besides 8 company holidays and 2 personal days every year, all colleagues receive a minimum of 18 days of paid time off
Comprehensive Benefits Package: Including medical, dental, vision, and pet insurance
401(k) matching program
and company-paid life insurance and short and long-term disability coverage
Supportive Services: We offer a Colleague Assistance Program that provides free counseling and financial services, and our One Call Foundation, a non-profit arm of our company, provides colleagues financial assistance during times of unexpected hardships

Fulltime

Senior VP - Data Science & Modelling

Citi Analytics & Information Management (AIM) team is a global community that ob...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Minimum 15+ years of analytics experience in core model development using ML/AI/Gen AI techniques
Sound knowledge of model development stages and industry best practices in real time deployment with good understanding of pros and cons of different modelling techniques
Strong understanding of current state of the art ML/AI/Gen AI algorithms and Generative AI
Strong coding skill with experience in Bigdata environments
Strong knowledge of the pros, cons, and usage of various ML / DL applications (such as Keras, TensorFlow, Python Scikit, etc.)
Strong knowledge of Python, SQL, and Big Data
Bachelor’s degree in finance/engineering/quantitative Fields (Statistics, Mathematics)/MBA. Master’s degree preferred
Model execution and governance experience in any domain will be preferable
Proficient in proactive risk mitigation, manage project pipeline to ensure prioritization and required resourcing mix
At least 8 years of people management experience

Job Responsibility

Lead a team of data scientists responsible for working on various tools and technologies for successful development and implementation of Machine learning (ML) /AI/Gen AI models on different platforms
Mitigate fraud losses by designing and developing NextGen advanced intelligent AI or ML based platform
Analyze transaction data, understand fraud pattern, develop models with the objective of overall business goal of minimizing fraud losses as well as minimizing customer impact
Collaborate with model implementation team, responsible for model documentation, justifying questions from model risk management (MRM)
Lead and manage the entire modelling function within AIM Financial Crimes and Fraud Prevention Analytics, recruit staff, lead professional development and build an effective high performing team
Work as SME in the area of ML/Generative AI
Articulate complex AI and ML concepts in a clear manner to diverse audiences including business partners and peers
Stay abreast of the latest advancements, trends and research in AI and ML space
Provide technical leadership, mentorship, and guidance to a team of model developers
Ensuring 100% execution accuracy

Fulltime

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