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Data Operations Vice President Jobs

Senior Vice President /Vice President Of Data Science
By Datafoundry At Princeton, NJ, United States
Spearhead all data science activities, collaborating closely with product management to translate business requirements into data science and engineering projects
Strong leadership and management skills, including effective communication and stakeholder management.
Familiarity with container management systems (Amazon ECS, Docker, Kubernetes).
Contribute hands-on expertise to training, testing, and validation of AI models, along with ongoing software development requirements.
A minimum of 10+ years of experience in the Life Science domain or a related field.
Over 18+ years of experience in emerging technology and innovation roles.
Vice President /Vice President Of Data Sciences
By Datafoundry At Princeton, NJ, United States
Spearhead all data science activities, collaborating closely with product management to translate business requirements into data science and engineering projects
Strong leadership and management skills, including effective communication and stakeholder management.
Familiarity with container management systems (Amazon ECS, Docker, Kubernetes).
Contribute hands-on expertise to training, testing, and validation of AI models, along with ongoing software development requirements.
A minimum of 10+ years of experience in the Life Science domain or a related field.
Over 18+ years of experience in emerging technology and innovation roles.
Vice President, Data Center Operations
By Rackspace At , Remote
Create and maintain reliable and accurate data for performance monitoring and reporting including productivity, quality, and customer experience.
Fanatical customer tour experience and solid and accurate audit documentation.
Data center incidents are managed effectively with strong communication and timely root cause resolution.
In-depth experience managing critical services facilities.
In-depth experience and understanding of DC Operations.
Strong organizational skills and the ability to set priorities in a high-pressure environment.
Vice President - Data & Insights
By Connexus Credit Union At , Remote
In-depth knowledge and proven experience in BI/, database management and programming methodologies is Required
7+ years of experience in Data Analytics Senior Management level leadership position of a mid-to-large sized financial services organization is Required
Manage the development, deployment, monitoring, maintenance, and support of information management systems, ensuring high availability and security.
Work with senior management in setting short and long-term technology plans that promote credit union growth and enhance services to members.
Lead prioritization processes related to Data Management and Business Intelligence initiatives.
Assess and review new technology opportunities related to Data Management, and how these will impact the organization’s Data Management operations.
Vice President Of Data Science
By Midland Credit Management, Inc. At , San Diego, 92108 $218,700 - $283,999 a year
KNOWLEDGE, SKILLS, ABILITIES, AND OTHER ATTRIBUTES:
Strong leadership skills with experience in managing and developing high-performing teams.
Proven experience (10+ years) in data science, analytics, and machine learning, with a track record of successfully driving data-driven initiatives.
Proven experience in application of advanced analytics to generate insights that can be leveraged for tangible business value.
Excellent communication skills, with the ability to present complex analytical concepts and insights to both technical and non-technical stakeholders.
Experience developing or contributing to an omni-channel platform implementation of decisioning tools
Morgan Health - Data Science, Vice President
By JPMorgan Chase & Co At , Boston, 02210, Ma $170,000 - $200,000 a year
Required Qualifications, Capabilities, and Skills
Preferred Qualifications, Capabilities, and Skills
Scope and manage complex data analytic projects end-to-end in a matrixed environment, which includes communicating with both technical and non-technical stakeholders
Keep up-to-date with industry trends in health care, data science, and artificial intelligence, and apply this knowledge in daily work
5+ years of health care experience, ideally in a payer, provider, or research setting that actively used claims and EMR/EHR data
Excellent verbal and written communication skills, especially when delivering analytical results to non-technical stakeholders
Data Engineer, Assistant Vice President, Hybrid
By State Street At Quincy, MA, United States
Experience performing data analysis and data exploration
Experience working in an agile delivery environment
Hands on development experience on Java is big plus
Experience working in a multi-developer environment, using version control (i.e. Git)
Strong knowledge on Databricks SQL/Spark/Scala - Data engineering pipeline
Strong Experience in Unix, Python and complex SQL
Data Engineer - Bionics, Vice President
By State Street At Boston, MA, United States
Ensures clear and concise expression of design decisions to development, business teams, and senior IT management.
Experience with big data skills (Hadoop, Apache stack), Cloud native DB (Databricks, Snowflake), and visualization tools (Tableau/PowerBI) is a plus.
Develop a fundamental understanding of Bionics’ products and the client’s end-to-end business requirements, relationships, data, and dependencies.
Strong technology skills including programming skills in Python, Java, SQL.
Strong critical thinking, problem solving, and decision making skills.
Strong interpersonal communication, collaboration, facilitation, presentation, and negotiation skills.
Vice President - Data-Tech-Ai Consulting Partner
By Genpact At New York, United States
Project management experience and exposure to Agile/Scrum methodologies is an advantage.
Bring strong advisory experience to elevate point of views, offerings, and outcomes specific and relevant for clients.
Drive relationship development and stakeholder management at CXO level across buying centers.
Build industry relevant digital offerings that can be standardized, repeated and scaled.
Translate recommended transformation vision into a set of requirements and customer roadmap.
Qualifications we seek in you!
Data Integration Analyst, Assistant Vice President, Hybrid
By MUFG At New York, United States
Minimum of 3 years of experience in data integration and management
Knowledge of ETL tools and techniques, with a willingness to learn more advanced skills.
Collaborate with team members to understand data needs and requirements.
Experience with Excel and Tableau for data analysis and reporting
Strong analytical and problem-solving skills
Good communication and collaboration skills
Blackstone Portfolio Operations - Data Science, Vice President
By Blackstone At New York, NY, United States
Drive operating efficiencies and create incremental and new revenue streams by working directly with management teams.
At least 5 years of experience in job offered or related occupations
Lead data science strategy for a Blackstone business unit.
Identify potential sources of corporate value that could be quantified and underwritten through data science.
Work alongside deal teams to evaluate attractiveness of local markets based on novel datasets and proprietary geospatial models.
Analyze complex datasets, develop predictive and analytical models, build production-quality data flows, and advise on smarter data utilization.
Vice President, Principal Data Scientist - Marketing
By Prudential Financial At Newark, NJ, United States
Partner with Platform Owners of enterprise platforms to leverage enterprise capabilities
Translate business problems/opportunities into technical requirements and data science specifications
Superior communication and persuasion skills; talent for storytelling, visualization and creating insights from data to deliver practical recommendations for business action
Experience in building Marketing and Digital advanced analytical solutions to support complex strategies and real time customer experiences
Proven relationship building and collaboration skills; ability to influence and drive outcomes in large, matrixed and complex organizations
Experience managing cross functional teams of data scientist, data architect, ML engineers and analytical professionals
Data Operations Vice President
By BlackRock At New York, NY, United States
Candidate must have strong organizational skills and demonstrate project management experience.
Bachelor’s degree or equivalent experience in Master and reference data management across multiple asset classes and asset resolution
Define roles and responsibilities, Establish, manage and keep current the ownership model of data at all times
Manage working groups and governance forums by data category
Active engagement with key product partners to ensure client data experience is aligned and going above and beyond
Solid experience working with metadata catalogs and data quality framework is required

Are you an experienced Data Operations leader looking to take your career to the next level? We are looking for an innovative and strategic Vice President of Data Operations to join our team and lead our data operations initiatives. You will be responsible for developing and executing a comprehensive data operations strategy that will drive our business forward. You will be a key member of the executive team, working closely with other senior leaders to ensure that our data operations are efficient, secure, and compliant with industry standards. If you have a passion for data operations and a track record of success, we want to hear from you!

Overview:

Data Operations Vice Presidents are responsible for overseeing the operations of data-driven organizations. They are responsible for developing and implementing strategies to ensure the efficient and effective use of data and analytics. They must be able to identify and analyze trends in data, develop strategies to improve data quality and accuracy, and ensure that data is used to its fullest potential. They must also be able to manage and lead teams of data analysts and other data professionals.

How To Become an Data Operations Vice President:

To become an Data Operations Vice President, you will need to have a bachelor’s degree in a related field such as computer science, information systems, or business administration. Additionally, you should have several years of experience in data operations, analytics, or a related field. You should also have strong leadership and communication skills, as well as the ability to think strategically and analytically.

Data Operations Vice President Skills:

• Strategic Thinking: Data Operations Vice Presidents must be able to think strategically and develop plans to ensure the efficient and effective use of data and analytics.
• Leadership: Data Operations Vice Presidents must be able to lead and manage teams of data analysts and other data professionals.
• Communication: Data Operations Vice Presidents must be able to communicate effectively with stakeholders and other members of the organization.
• Analytical Skills: Data Operations Vice Presidents must be able to analyze data and identify trends and patterns.
• Problem-Solving: Data Operations Vice Presidents must be able to identify and solve problems related to data and analytics.

What is Data Operations Vice President Knowledge?

• Data Analysis: Data Operations Vice Presidents must have a thorough understanding of data analysis techniques and tools.
• Data Management: Data Operations Vice Presidents must have a thorough understanding of data management principles and best practices.
• Business Intelligence: Data Operations Vice Presidents must have a thorough understanding of business intelligence principles and best practices.
• Data Governance: Data Operations Vice Presidents must have a thorough understanding of data governance principles and best practices.
• Data Security: Data Operations Vice Presidents must have a thorough understanding of data security principles and best practices.

What is Data Operations Vice President Responsibilities?

• Develop and implement strategies to ensure the efficient and effective use of data and analytics.
• Identify and analyze trends in data.
• Develop strategies to improve data quality and accuracy.
• Ensure that data is used to its fullest potential.
• Manage and lead teams of data analysts and other data professionals.
• Monitor data operations and ensure compliance with data governance policies.
• Develop and implement data security policies and procedures.
• Collaborate with stakeholders to identify opportunities to leverage data and analytics.

What is Data Operations Vice President Experience?

• At least 5 years of experience in data operations, analytics, or a related field.
• Experience leading and managing teams of data analysts and other data professionals.
• Experience developing and implementing strategies to ensure the efficient and effective use of data and analytics.
• Experience identifying and analyzing trends in data.
• Experience developing strategies to improve data quality and accuracy.
• Experience developing and implementing data security policies and procedures.

What is Data Operations Vice President Qualifications?

• Bachelor’s degree in a related field such as computer science, information systems, or business administration.
• Strong leadership and communication skills.
• Ability to think strategically and analytically.
• Knowledge of data analysis techniques and tools.
• Knowledge of data management principles and best practices.
• Knowledge of business intelligence principles and best practices.
• Knowledge of data governance principles and best practices.
• Knowledge of data security principles and best practices.

Data Operations Vice President Educations:

• Bachelor’s degree in a related field such as computer science, information systems, or business administration.
• Master’s degree in a related field such as data science, analytics, or business intelligence.
• Professional certifications in data operations, analytics, or a related field.
What tools help Data Operations Vice President work better?
• Data Analysis Tools: Data Operations Vice Presidents can use data analysis tools such as Tableau, Power BI, and SAS to analyze data and identify trends and patterns.
• Data Management Tools: Data Operations Vice Presidents can use data management tools such as Oracle, SQL Server, and MongoDB to manage and store data.
• Business Intelligence Tools: Data Operations Vice Presidents can use business intelligence tools such as QlikView and Cognos to develop and implement strategies to leverage data and analytics.
• Data Governance Tools: Data Operations Vice Presidents can use data governance tools such as Collibra and Informatica to ensure compliance with data governance policies.
• Data Security Tools: Data Operations Vice Presidents can use data security tools such as Symantec and McAfee to develop and implement data security policies and procedures.
Good tips to help Data Operations Vice President do more effectively?
• Develop a data-driven culture: Data Operations Vice Presidents should strive to create a data-driven culture within their organization. This can be done by encouraging the use of data and analytics in decision-making, providing training and resources to data professionals, and rewarding employees for their data-driven accomplishments.
• Leverage data and analytics: Data Operations Vice Presidents should strive to leverage data and analytics to their fullest potential. This can be done by identifying opportunities to use data and analytics to improve processes and operations, and by developing strategies to ensure the efficient and effective use of data and analytics.
• Monitor data operations: Data Operations Vice Presidents should monitor data operations to ensure compliance with data governance policies and to identify opportunities to improve data quality and accuracy.
• Develop data security policies: Data Operations Vice Presidents should develop and implement data security policies and procedures to protect the organization’s data and analytics.
Common Data Operations Vice President interview questions?
• How have you used data and analytics to improve processes and operations?
• What strategies have you implemented to ensure the efficient and effective use of data and analytics?
• How have you managed and led teams of data analysts and other data professionals?
• What experience do you have developing and implementing data security policies and procedures?
• What strategies have you implemented to ensure compliance with data governance policies?
• How have you identified and analyzed trends in data?
• What strategies have you implemented to improve data quality and accuracy?