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Data & Marketing Systems Quant Analytics Lead-Senior Associate

ExperiencedNo visa sponsorship
J.P. Morgan logo

at J.P. Morgan

Bulge Bracket Investment Banks

Posted 6 days ago

No clicks

**Data & Marketing Systems Quant Analytics Lead-Senior Associate in Wilmington, DE** - **Role**: Design and implement data strategies for marketing execution, enhancing audience targeting, measurement, and operational efficiency. - **Responsibilities**: - Develop data management plans, including quality monitoring and automated reporting. - Leverage data from systems of record to refine targeting and optimize performance using advanced analytics. - Drive adoption of best practices for data standardization and reusability. - Monitor and manage data initiatives, detecting issues proactively. - Collaborate with Product and Technology to integrate AI capabilities with clear controls and measurable outcomes. - Partner with business leadership to quantify data-driven value. - **Required Skills & Experience**: - Bachelor's degree in Data Science, Statistics, or related field. - Proven experience in data analytics and customer segmentation. - Proficiency in SQL, Python, Excel, Tableau, Adobe, and Segment. - Strong communication skills and ability to build cross-functional relationships.

Compensation
Not specified

Currency: Not specified

City
Not specified
Country
United States

Full Job Description

Location: Wilmington, DE, United States

Shape how marketing execution uses dataat scale and with strong controlsto deliver more relevant customer experiences. In this role, you will modernize targeting data, reduce manual reporting through automation, and improve reliability with proactive monitoring. You will partner across Product, Technology, and business stakeholders to bring measurable outcomes to life while enabling responsible use of artificial intelligence.

Job summary 
As a Data Management Lead in the Marketing Execution team, you will design and run data strategies that improve audience targeting, measurement, and operational efficiency. You will turn business needs into clear, testable requirements and repeatable datasets that support consistent delivery. You will implement monitoring and quality checks to detect issues early and protect performance. You will help teams adopt responsible human-in-the-loop ways of working for AI-supported execution. You will quantify and communicate value through cycle-time reduction, hours saved, and audience quality improvements.


You will help establish reusable audience frameworks and documentation that accelerate delivery and reduce rework. You will collaborate closely with Product and Technology to ensure new capabilities include clear controls, explainability expectations, and measurable success criteria. You will build strong relationships across workstreams and drive adoption of best practices for standardization and reusability.

Job responsibilities

  • Develop and implement data management strategies for marketing execution, including AI-assisted data quality monitoring and automated operational reporting to reduce manual effort and improve reliability
  • Leverage data from systems of record to refine targeting and optimize performance, incorporating advanced analytics and machine learning-informed insights (for example, propensity and suppression inputs) where approved
  • Drive adoption of best practices for standardization and reusability of marketing data outputs, including reusable audience frameworks and generative AI-accelerated documentation (requirements, definitions, quality assurance checklists)
  • Manage execution, monitoring, and quality of data initiatives to support message-driven audience targeting, including proactive issue detection through alerts and anomaly flags
  • Collaborate with Product and Technology to orchestrate requirements and delivery plans for product development, omnichannel initiatives, and system implementations, ensuring AI-enabled capabilities have clear controls and measurable outcomes
  • Build strong working relationships across workstreams and stakeholders, and help drive adoption of human-in-the-loop operating models that enable safe scaling of AI-supported execution
  • Partner with business leadership to define priorities and oversee execution, including quantifying value from automation and AI (cycle-time reduction, business-as-usual hours saved, audience quality improvements, performance lift)
  • Required qualifications, capabilities, and skills

  • Bachelors degree in Data Science, Statistics, Information Systems, or related field
  • Experience in data analytics or customer segmentation, with ability to connect analytics outputs to campaign execution outcomes
  • Proficiency with tools such as SQL, Python, Excel, Tableau, Adobe, and Segment, with ability to build repeatable datasets and automation-friendly outputs
  • Ability to translate business requirements into technical specifications and communicate complex topics to non-technical partners
  • Knowledge of digital marketing principles and measurement, with ability to run structured test-and-learn optimization
  • Ability to build cross-functional relationships and drive change adoption across stakeholders
  • Strong communication skills, including ability to explain AI-supported decisions and controls clearly and without jargon
  • Preferred qualifications, capabilities, and skills

  • Experience in marketing operations and marketing technology, including familiarity with AI-enabled targeting or decisioning
  • Proficiency in project management and agile tools (for example, Microsoft Project, Excel, PowerPoint, Jira, Confluence), with ability to run automation-first plans and track value realization
  • Experience with customer data platforms and marketing automation tools (for example, Salesforce, Segment, SAS, Adobe, Microsoft), including incorporating model outputs into activation where permitted
  • Experience working with agencies or consultancies, with ability to translate vendor capabilities into governed requirements suitable for a bank environment
  • Ability to manage multiple initiatives under tight deadlines while maintaining quality through automation and AI-assisted analysis
  • Strong relationship development and negotiation skills, including aligning partners on responsible AI use, governance needs, and measurable success criteria
  • Lead marketing execution data strategy, automation, and analytics to improve audience quality, efficiency, and measurable outcomes.

    Data & Marketing Systems Quant Analytics Lead-Senior Associate

    Compensation

    Not specified

    City: Not specified

    Country: United States

    J.P. Morgan logo
    Bulge Bracket Investment Banks

    6 days ago

    No clicks

    at J.P. Morgan

    ExperiencedNo visa sponsorship

    **Data & Marketing Systems Quant Analytics Lead-Senior Associate in Wilmington, DE** - **Role**: Design and implement data strategies for marketing execution, enhancing audience targeting, measurement, and operational efficiency. - **Responsibilities**: - Develop data management plans, including quality monitoring and automated reporting. - Leverage data from systems of record to refine targeting and optimize performance using advanced analytics. - Drive adoption of best practices for data standardization and reusability. - Monitor and manage data initiatives, detecting issues proactively. - Collaborate with Product and Technology to integrate AI capabilities with clear controls and measurable outcomes. - Partner with business leadership to quantify data-driven value. - **Required Skills & Experience**: - Bachelor's degree in Data Science, Statistics, or related field. - Proven experience in data analytics and customer segmentation. - Proficiency in SQL, Python, Excel, Tableau, Adobe, and Segment. - Strong communication skills and ability to build cross-functional relationships.

    Full Job Description

    Location: Wilmington, DE, United States

    Shape how marketing execution uses dataat scale and with strong controlsto deliver more relevant customer experiences. In this role, you will modernize targeting data, reduce manual reporting through automation, and improve reliability with proactive monitoring. You will partner across Product, Technology, and business stakeholders to bring measurable outcomes to life while enabling responsible use of artificial intelligence.

    Job summary 
    As a Data Management Lead in the Marketing Execution team, you will design and run data strategies that improve audience targeting, measurement, and operational efficiency. You will turn business needs into clear, testable requirements and repeatable datasets that support consistent delivery. You will implement monitoring and quality checks to detect issues early and protect performance. You will help teams adopt responsible human-in-the-loop ways of working for AI-supported execution. You will quantify and communicate value through cycle-time reduction, hours saved, and audience quality improvements.


    You will help establish reusable audience frameworks and documentation that accelerate delivery and reduce rework. You will collaborate closely with Product and Technology to ensure new capabilities include clear controls, explainability expectations, and measurable success criteria. You will build strong relationships across workstreams and drive adoption of best practices for standardization and reusability.

    Job responsibilities

  • Develop and implement data management strategies for marketing execution, including AI-assisted data quality monitoring and automated operational reporting to reduce manual effort and improve reliability
  • Leverage data from systems of record to refine targeting and optimize performance, incorporating advanced analytics and machine learning-informed insights (for example, propensity and suppression inputs) where approved
  • Drive adoption of best practices for standardization and reusability of marketing data outputs, including reusable audience frameworks and generative AI-accelerated documentation (requirements, definitions, quality assurance checklists)
  • Manage execution, monitoring, and quality of data initiatives to support message-driven audience targeting, including proactive issue detection through alerts and anomaly flags
  • Collaborate with Product and Technology to orchestrate requirements and delivery plans for product development, omnichannel initiatives, and system implementations, ensuring AI-enabled capabilities have clear controls and measurable outcomes
  • Build strong working relationships across workstreams and stakeholders, and help drive adoption of human-in-the-loop operating models that enable safe scaling of AI-supported execution
  • Partner with business leadership to define priorities and oversee execution, including quantifying value from automation and AI (cycle-time reduction, business-as-usual hours saved, audience quality improvements, performance lift)
  • Required qualifications, capabilities, and skills

  • Bachelors degree in Data Science, Statistics, Information Systems, or related field
  • Experience in data analytics or customer segmentation, with ability to connect analytics outputs to campaign execution outcomes
  • Proficiency with tools such as SQL, Python, Excel, Tableau, Adobe, and Segment, with ability to build repeatable datasets and automation-friendly outputs
  • Ability to translate business requirements into technical specifications and communicate complex topics to non-technical partners
  • Knowledge of digital marketing principles and measurement, with ability to run structured test-and-learn optimization
  • Ability to build cross-functional relationships and drive change adoption across stakeholders
  • Strong communication skills, including ability to explain AI-supported decisions and controls clearly and without jargon
  • Preferred qualifications, capabilities, and skills

  • Experience in marketing operations and marketing technology, including familiarity with AI-enabled targeting or decisioning
  • Proficiency in project management and agile tools (for example, Microsoft Project, Excel, PowerPoint, Jira, Confluence), with ability to run automation-first plans and track value realization
  • Experience with customer data platforms and marketing automation tools (for example, Salesforce, Segment, SAS, Adobe, Microsoft), including incorporating model outputs into activation where permitted
  • Experience working with agencies or consultancies, with ability to translate vendor capabilities into governed requirements suitable for a bank environment
  • Ability to manage multiple initiatives under tight deadlines while maintaining quality through automation and AI-assisted analysis
  • Strong relationship development and negotiation skills, including aligning partners on responsible AI use, governance needs, and measurable success criteria
  • Lead marketing execution data strategy, automation, and analytics to improve audience quality, efficiency, and measurable outcomes.