Managing Vice President, Data Products Job at Marriott Bonvoy (Bethesda)

Data Analytics Lead - Data Scientist - Vice President

The Data Analytics Lead / Data Scientist is a strategic professional who stays a...

Location

India , Chennai; Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

10-15 years of relevant experience in Data Analytics, Data Science, or Advanced Analytics roles
Advanced proficiency in SQL and relational database concepts
Strong programming experience in Python (required)
PySpark preferred
Hands-on experience building and deploying machine learning models (supervised and unsupervised)
Experience with ML libraries such as scikit-learn, XGBoost, TensorFlow, or PyTorch
Strong knowledge of statistical modeling, feature engineering, and model validation techniques
Experience with BI tools such as Tableau or Power BI
Familiarity with MLOps practices (model deployment, monitoring, versioning) is strongly preferred
Experience working with large-scale enterprise or financial datasets

Job Responsibility

Integrates subject matter and industry expertise within a defined area
Contributes to data analytics standards around which others will operate
Applies in-depth understanding of how data analytics collectively integrate within the sub-function as well as coordinate and contribute to the objectives of the entire function
Employs developed communication and diplomacy skills are required in order to guide, influence and convince others, in particular colleagues in other areas and occasional external customers
Resolves occasionally complex and highly variable issues
Produces detailed analysis of issues where the best course of action is not evident from the information available, but actions must be recommended/ taken
Responsible for volume, quality, timeliness and delivery of data science projects along with short-term planning resource planning
Appropriately assess risk when business decisions are made, demonstrating particular consideration for the firm's reputation and safeguarding Citigroup, its clients and assets, by driving compliance with applicable laws, rules and regulations, adhering to Policy, applying sound ethical judgment regarding personal behavior, conduct and business practices, and escalating, managing and reporting control issues with transparency
Lead the design and execution of complex data analysis and AI/ML initiatives across large, structured, and unstructured datasets
Develop and deploy predictive, classification, clustering, and forecasting models to support business strategy and risk management

Fulltime

Assistant Vice President Data Science and Gen AI

The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-d...

Location

India , Pune

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor’s or Master’s degree in computer science, Data Science, Machine Learning, or a related field. A Ph.D. is a plus.
8+ years of experience in machine learning and deep learning, with a focus on generative AI solution design and development.
Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras.
Strong background of Prompt Engineering, building agentic AI / AI Agents, API / MCPs for large scale automations in banking domain
Experience with natural language processing (NLP) and natural language generation (NLG).
Proven track record of building and deploying generative models based solutions in production environments particularly using RAG frameworks.
Solid understanding of machine learning algorithms, data structures, and software engineering principles.
Excellent problem-solving skills and the ability to work independently and as part of a team.
Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders.
Bachelors/University degree or equivalent experience

Job Responsibility

Design, Develop and deploy generative models for various applications in Fraud Operations.
RAG Frameworks – Able to customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements.
Design and Develop POC / full scale solutions on various automations in Operations area including Conversational AI, Muti Agent Systems for multiple services.
Responsible for development and deployment of Machine Learning / Deep Learning based models
Collaborate with cross-functional team to understand business requirements and translate them into AI solutions.
Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field.
Optimize and fine-tune models for performance, scalability, and robustness.
Implement and maintain AI pipelines and infrastructure to support model training and deployment.
Perform data analysis and preprocessing to ensure high-quality input for model training.
Implement and maintain AI pipelines and infrastructure to support model training and deployment. - Perform data analysis and preprocessing to ensure high-quality input for model training.

Fulltime

Assistant Vice President - Data Science and Fraud Analytics

The Specialized Analytics Sr Anlst is a seasoned professional role. Applies in-d...

Location

India , Bengaluru

Salary:

Not provided

Citi

Expiration Date

Until further notice

Requirements

Bachelor's or Master's degree in computer science, Data Science, Machine Learning, or a related field
A Ph.D. is a plus
8+ years of experience in machine learning and deep learning, with a focus on generative AI solution design and development
Strong proficiency in Python and deep learning frameworks such as TensorFlow, PyTorch, or Keras
Strong background of Prompt Engineering, building agentic AI / AI Agents, API / MCPs for large scale automations in banking domain
Experience with natural language processing (NLP) and natural language generation (NLG)
Proven track record of building and deploying generative models based solutions in production environments particularly using RAG frameworks
Solid understanding of machine learning algorithms, data structures, and software engineering principles
Excellent problem-solving skills and the ability to work independently and as part of a team
Strong communication skills, with the ability to explain complex technical concepts to non-technical stakeholders

Job Responsibility

Design, Develop and deploy generative models (e.g., GPT, GAN, VAEs) for various applications
RAG Frameworks – Able to customize and fine-tune existing RAG frameworks or design new RAG to meet project requirements
Design and Develop POC / full scale solutions on various automations in Operations area including Conversational AI, Muti Agent Systems for multiple services
Responsible for development and deployment of Machine Learning / Deep Learning based models
Collaborate with cross-functional team to understand business requirements and translate them into AI solutions
Conduct research to advance the state-of-the art in generative modeling and stay up to date with latest advancements in the field
Optimize and fine-tune models for performance, scalability, and robustness
Implement and maintain AI pipelines and infrastructure to support model training and deployment
Perform data analysis and preprocessing to ensure high-quality input for model training
Mentor junior team members and provide technical guidance

Fulltime

Associate Vice President, Data Strategy & Capabilities (GCCI)

Join Amgen's Mission of Serving Patients. At Amgen, if you feel like you are par...

Location

United States , Thousand Oaks

Salary:

299639.00 - 405395.00 USD / Year

Amgen

Expiration Date

Until further notice

Requirements

Doctorate degree & 7 years of data & analytics experience OR Master's degree & 10 years of data & analytics experience OR Bachelor's degree & 12 years of data & analytics experience AND 7 years of managerial experience directly managing people and/or leadership experience leading teams, projects, programs or directing the allocation of resources

Job Responsibility

Shape and execute the data and analytics strategy for GCCI, aligned with enterprise priorities and customer-centric outcomes
Influence cross-functional alignment on data, AI, and decision science priorities, ensuring focus on highest-value opportunities
Lead the evolution of data governance, stewardship, and standards within GCCI in alignment with enterprise frameworks
Serve as a trusted advisor to senior leaders, bringing external perspective and industry-leading practices in data and AI
Drive innovation through the adoption of emerging technologies (e.g., AI/ML, advanced analytics platforms)
Lead and scale integrated capabilities across Neural Nexus (AI/advanced analytics enablement), Data Management (data quality, master data, data lifecycle), Decision Sciences (marketing mix modeling, predictive analytics, advanced modeling)
Ensure delivery of scalable, reusable data assets and analytical products that drive measurable business value
Partner with technology (ATMOS) and business teams to enable modern, interoperable data architecture aligned with FAIR and Clean Core principles
Oversee prioritization and execution of key programs, balancing innovation with operational excellence
Establish operating models, KPIs, and governance to ensure effective execution across GCCI capabilities

What we offer

Comprehensive employee benefits package, including a Retirement and Savings Plan with generous company contributions, group medical, dental and vision coverage, life and disability insurance, and flexible spending accounts
A discretionary annual bonus program, or for field sales representatives, a sales-based incentive plan
Stock-based long-term incentives
Award-winning time-off plans and bi-annual company-wide shutdowns
Flexible work models where possible

Fulltime

Vice President - Data Architect

Join us at Barclays as a Vice President - Data Architect. In this role, you will...

Location

India , Pune

Salary:

Not provided

Barclays

Expiration Date

Until further notice

Requirements

Investment Banking, including Financial Markets, Expertise
Strong understanding of Investments Banking and Financial Markets, including end-to-end trade lifecycles, market structures, and the flow of data across front‑to‑back processes (from client onboarding, trade capture through post-trade processing).
Enterprise Data Modelling & Architecture Leadership
Proven experience designing and driving adoption of unified data models (e.g., Client, Banking & Trade data representation), including shaping proposals and supporting their implementation across complex environments.
Advanced Data Architecture Capability
Deep expertise in data architecture disciplines, including: Data flow design
Logical and physical data modelling
Translating business and data requirements into scalable, implementable solutions
Engineering Collaboration & Delivery Enablement
Ability to work closely with engineering teams to deliver architectural outcomes across both upstream (trade capture) and downstream (post-trade) systems, ensuring alignment between design and implementation.

Job Responsibility

Analysis and documentation of business requirements to translate them into data models aligned with organisational goals.
Development and maintenance of data dictionaries and glossaries to define data elements and their usage.
Analysis and monitoring of data usage patterns to identify opportunities for data optimisation and improvement, in partnership with the Data Base Administrator.
Strategic architecture definition and product selection.
Production of logical designs in relevant subject area (technical, data, operational), showing for example: processes, objects, data flows, inputs, stored data and outputs. Identifying common components.
Implementation of architectures and Identification, ownership and resolution of design related issues.
Definition and documentation of data architectures standards, principles and strategies.

Fulltime

Managing Vice President, Analytic & AI Product

The Enterprise Data, Analytics & AI organization at Marriott is pioneering the f...

Location

United States , Bethesda

Salary:

215700.00 - 382100.00 USD / Year

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

Advanced degree in Data Science, Analytics, Computer Science, Engineering, or a related field (PhD preferred)
15+ years of progressive leadership experience in analytics, AI/ML, BI, or related domains within large, complex organizations
Extensive experience in traditional or generative AI, statistical modeling, and other advanced modeling techniques, with a proven track record of delivering successful AI projects in a transforming enterprise
Proven executive-level experience in consultative leadership and strategic business partnership, with a demonstrated ability to influence senior stakeholders and drive enterprise-wide analytic initiatives
Deep expertise in traditional AI/ML, generative AI, statistical modeling, and enterprise BI platforms
Experience building or transforming analytic product teams and disciplines for an omnichannel organization
Highly skilled in Agile methodologies, experienced in pod-driven development methodologies, and highly competent in delivering responsible solutions at speed
Skilled in prioritizing analytics initiatives based on business impact and resource availability
Excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels of the organization
Excellent verbal and written communication skills, with the ability to present complex data and AI insights to non-technical stakeholders

Job Responsibility

Lead the Analytic Products function, overseeing strategic initiatives across Gen AI, Data Science (including statistical modeling and other advanced models), BI Tools & Products, and all capabilities to generate insights, recommendations and actions to each part of the business
Design and implement a cohesive analytic product strategy that supports enterprise goals and enables data-driven decision-making across business units
Oversee the development, deployment, and evolution of analytic products, ensuring scalability, reliability, and measurable business value
Guide the integration of advanced predictive modeling, statistical modeling, generative AI solutions, and enterprisetools to enable actionable insights, recommendations, actions, and automation
Oversee team structure, resource allocation, and portfolio prioritization to ensure high-impact analytics initiatives are delivered efficiently and effectively
Build and mentor a high-performing analytics team, fostering professional development, domain expertise, and cross-functional collaboration
Establish strong relationships with business, technology, and external partners to understand needs, manage expectations, and deliver impactful analytic solutions
Champion analytics literacy and drive adoption of analytic products to empower business leaders and foster a culture of informed decision-making
Ensure governance, quality, and ethical use of analytic products and AI across all domains
Stay current with industry trends, emerging technologies, and best practices in data, analytics, and AI

What we offer

401(k) plan
stock purchase plan
discounts at Marriott properties
commuter benefits
employee assistance plan
childcare discounts
medical coverage
dental coverage
vision coverage
health care flexible spending account

Fulltime

Managing Vice President, Analytic & AI Product

The Enterprise Data, Analytics & AI organization at Marriott is pioneering the f...

Location

United States , Bethesda

Salary:

215700.00 - 382100.00 USD / Year

Marriott Bonvoy

Expiration Date

Until further notice

Requirements

Advanced degree in Data Science, Analytics, Computer Science, Engineering, or a related field (PhD preferred)
15+ years of progressive leadership experience in analytics, AI/ML, BI, or related domains within large, complex organizations
Extensive experience in traditional or generative AI, statistical modeling, and other advanced modeling techniques, with a proven track record of delivering successful AI projects in a transforming enterprise
Proven executive-level experience in consultative leadership and strategic business partnership, with a demonstrated ability to influence senior stakeholders and drive enterprise-wide analytic initiatives
Deep expertise in traditional AI/ML, generative AI, statistical modeling, and enterprise BI platforms
Experience building or transforming analytic product teams and disciplines for an omnichannel organization
Highly skilled in Agile methodologies, experienced in pod-driven development methodologies, and highly competent in delivering responsible solutions at speed
Skilled in prioritizing analytics initiatives based on business impact and resource availability
Excellent communication and interpersonal skills, with the ability to engage and influence stakeholders at all levels of the organization
Excellent verbal and written communication skills, with the ability to present complex data and AI insights to non-technical stakeholders

Job Responsibility

Lead the Analytic Products function, overseeing strategic initiatives across Gen AI, Data Science (including statistical modeling and other advanced models), BI Tools & Products, and all capabilities to generate insights, recommendations and actions to each part of the business
Design and implement a cohesive analytic product strategy that supports enterprise goals and enables data-driven decision-making across business units
Oversee the development, deployment, and evolution of analytic products, ensuring scalability, reliability, and measurable business value
Guide the integration of advanced predictive modeling, statistical modeling, generative AI solutions, and enterprisetools to enable actionable insights, recommendations, actions, and automation
Oversee team structure, resource allocation, and portfolio prioritization to ensure high-impact analytics initiatives are delivered efficiently and effectively
Build and mentor a high-performing analytics team, fostering professional development, domain expertise, and cross-functional collaboration
Establish strong relationships with business, technology, and external partners to understand needs, manage expectations, and deliver impactful analytic solutions
Champion analytics literacy and drive adoption of analytic products to empower business leaders and foster a culture of informed decision-making
Ensure governance, quality, and ethical use of analytic products and AI across all domains
Stay current with industry trends, emerging technologies, and best practices in data, analytics, and AI

What we offer

401(k) plan
stock purchase plan
discounts at Marriott properties
commuter benefits
employee assistance plan
childcare discounts
medical, dental, vision coverage
health care flexible spending account
dependent care flexible spending account
life insurance

Fulltime

Application Development Lead (Fixed Income Data) - Vice President

This role is for a application dev lead within the FI Data team, responsible for...

Location

Canada , Mississauga

Salary:

120800.00 - 170800.00 USD / Year

Citi

Expiration Date

Until further notice

Requirements

6+ years of demonstrable and relevant experience in software development, with at least 3-5 years in a leadership role within a high-performing technical team
Strong understanding of Python 3.6, with the ability to guide and review complex solutions
Solid understanding of REST API development, including best practices for design, security, and scalability
Demonstrable experience in driving the creation of reusable, testable, and efficient code with proper error and exception handling, and establishing coding standards
Extensive experience with the design and implementation of cloud-native applications and deployment via Kubernetes / Openshift, including strategic decision-making on cloud architecture
Expertise in big data computation platforms (Flink, Spark, Apache Beam) or big data distribution platforms (Hadoop, Druid, Pinot, Trino, Ignite), and a track record of leading teams leveraging these technologies
Hands-on experience in handling various data structures, and the ability to guide complex data modeling decisions
Proven leadership in establishing and maturing Continuous Integration and Continuous Delivery environments. Familiarity with TeamCity, Sonarqube, and Jenkins
Extensive experience with the SDLC lifecycle and in leading and coaching within an Agile environment (Scrum/Kanban)
Demonstrable leadership in promoting and enforcing engineering best practices: design patterns, coding standards, rigorous code review processes, and comprehensive unit testing strategies (e.g., Mockito, Junit, Pytest)

Job Responsibility

Lead and oversee the design and development of high-performance green-field data analytics products for a Tier 1 bank, ensuring architectural excellence and alignment with business goals
Collaborate strategically with other dev leads in US and Canada, translating complex business requirements into technical roadmaps and fostering a partnership approach to deliver impactful solutions
Drive innovation within the team, encouraging the exploration and implementation of cutting-edge data visualization and analytics solutions
Mentor and guide team members in applying an engineering mindset, fostering deep understanding of use-cases, developing robust estimation techniques for volume and compute velocity, and openly addressing implementation limitations
Lead the evaluation and development of Proof-of-Concepts (POCs) for new strategic initiatives, guiding the team to convert successful prototypes into robust enterprise solutions
Foster a culture of continuous learning and growth within the team, empowering members to research, learn, and recommend emerging technologies
Provide leadership and strategic direction for post-release support, collaborating closely with business, development, and support groups to ensure operational stability and client satisfaction
Manage team performance, including goal setting, performance reviews, career development, and providing regular feedback to foster professional growth
Participate in hiring processes, attracting, interviewing, and onboarding top talent to grow the team's capabilities
Facilitate effective communication within the team and across different stakeholders, ensuring transparency and alignment

Fulltime

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Managing Vice President, Data Products

Job Description

Job Responsibility

Requirements

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