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TD

Data Insights & Marketing Targeting Manager

Mount Laurel, New Jersey · Wilmington, Delaware · New York, New York

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hirly's read of this role

Seniority
Lead / management
Stated salary
$96,130 – $155,950 per year
Country
US
Work mode
On-site / unstated
First seen by hirly
27 Sept 2026

Derived automatically from the posting. Upload your resume above to see how the role scores against it.

the posting

Work Location:

Mount Laurel, New Jersey, United States of America

Hours:

40

Pay Details:

$96,130 - $155,950 USD

TD is committed to providing fair and equitable compensation opportunities to all colleagues. Growth opportunities and skill development are defining features of the colleague experience at TD. Our compensation policies and practices have been designed to allow colleagues to progress through the salary range over time as they progress in their role. The base pay actually offered may vary based upon the candidate's skills and experience, job-related knowledge, geographic location, and other specific business and organizational needs.

As a candidate, you are encouraged to ask compensation related questions and have an open dialogue with your recruiter who can provide you more specific details for this role.

Line of Business:

Analytics, Insights, & Artificial Intelligence Job Description:

This role is not eligible for TD work visa support or sponsorship (e.g., H-1B, F-1 OPT/STEM OPT, TN or other work visa authorizations). Applicants must have authorization to work in the United States without current or future need for TD sponsorship.

The Data Insights & Marketing Targeting Manager is a key member of the U.S. Marketing organization, responsible for leveraging data-driven insights to inform marketing strategies, optimize audience targeting, and support the successful execution of acquisition, growth, retention, and engagement campaigns. This role combines advanced analytical expertise with strong business acumen to transform complex data into actionable marketing intelligence. Utilizing tools such as SAS, SQL, Python, Databricks, and Salesforce Data Cloud, the specialist performs in-depth analysis, develops audience segmentation strategies, and delivers insights that drive customer engagement, business growth, and measurable marketing outcomes. The successful candidate will develop deep subject matter expertise across customer, product, and marketing data assets, enabling them to identify trends, uncover opportunities, and solve business challenges through data. Working closely with Marketing, Business Line, Compliance, and Technology partners, the specialist will influence targeting strategies, support data-driven decision making, and communicate insights through presentations, reports, and other supporting materials.

Key responsibilities of the Data Insights & Marketing Targeting Strategy Manager include:

  • Translate business and marketing strategies into detailed campaign data specifications, defining targeting criteria, audience selection logic, campaign parameters, and execution requirements while ensuring successful navigation through Compliance and governance approvals.
  • Serve as a subject matter expert on marketing data assets, leveraging analytical tools such as SAS, SQL, Python, and Databricks to conduct complex data analysis, validate targeting strategies, and support campaign execution.
  • Utilize Salesforce Data Cloud capabilities, including Audience Creation, Data 360 Queries, Query Editor, Data Transforms, Activations, and segmentation tools to develop and deploy targeted customer audiences.
  • Conduct advanced customer, campaign, and performance analyses to identify trends, opportunities, and actionable insights that improve marketing effectiveness and drive business results.
  • Partner with Marketing Planners, Business Line stakeholders, Compliance, Technology, and other cross-functional teams to support the development and execution of customer communications and marketing campaigns.
  • Continuously evaluate and improve audience targeting methodologies, segmentation approaches, and data processes to increase efficiency, accuracy, and campaign performance.
  • This role will be in office no less than 4 days per week

Preferred Skills:

  • Hands-on experience in executing marketing campaigns with Salesforce Data Cloud & Marketing Cloud
  • Actual hands-on experience in creating audiences in Data Cloud and activating them
  • In-depth hands-on experience with data analysis in a database environment using SAS, SQL, Python or R in formulating relevant and meaningful data analysis
  • Experience in leveraging marketing segmentation techniques using customer and prospect data for targeting campaigns
  • Strong communication skills to interact with stakeholders and influence marketing strategy

The Business Insights Specialist is responsible for conducting analyses on curated and/or aggregated DataMart's in conjunction with deep business subject matter expertise, to generate relevant analytical insights for business issues and identify opportunities to drive business growth and value. This role works in partnership with business leaders to present or generate appropriate insights including the delivery of supporting collateral and/or presentations.

Depth & Scope:

  • Works autonomously and accountable for acting as a lead within a specialized business management function and may provide work direction to others
  • Provides seasoned specialized knowledge, advice and/or guidance to various stakeholders and team members
  • Scope of role may have enterprise impact
  • Focuses on short to medium - term issues (e.g. 6-12 months)
  • Undertakes and completes a variety of complex projects and initiatives requiring specialist knowledge and/or the integration of cross functional processes within own area of expertise
  • Oversees and/or independently performs tasks from end-to-end
  • May interact with any hierarchy level up to executive leaders and external vendors

Education & Experience:

  • Undergraduate degree or advanced technical degree preferred (e.g., math, physics, engineering, finance or computer science) Graduate's degree preferred with either progressive project work experience, or;
  • 5+ year of relevant experience; higher degree education and research tenure can be counted

Customer Accountabilities:

  • Leads on the interpretation of complex business issues, generates multifaceted insights and identifies opportunities to help drive business growth or address business/enterprise needs
  • Presents and communicates generated insights and recommended business actions to stakeholders/business leaders in an easily digestible manner, leveraging tools/techniques/methods to produce a variety of visualizations/presentations that fit the audience
  • Acts as the primary interface with business to bridge and translate business requirements to analytics and reporting needs for a given domain/business
  • Applies collaborative and strong stakeholder management approach to constructively influence and persuade stakeholders and partners where appropriate
  • Serves as an authority on a given business domain and provides business expertise to place context around analytics discovery and inform recommendations
  • Escalates data/process related problems and communicates to relevant teams in a timely manner and makes recommendations for resolution
  • Provides day-to-day support and delivery of analytics

Shareholder Accountabilities:

  • Represents functional area as a business insights & analytics specialized expert
  • Synthesizes complex and vast amount of information and translates into actionable insights and strategy
  • Builds business requirements and facilitates project execution to develop insights
  • Collaborates with partners on business challenges and delivers fact-based analytical advice that aligns to strategy and drives shareholder value
  • Identifies opportunities for business growth within a specific business or function by identifying potential use cases and value drivers
  • Utilizes both quantitative and qualitative methodologies to interpret and present data effectively and clearly
  • Works directly with the business teams to gather the demand for analytics and work with the analytics hub to fulfill the analytics demand
  • Provides business explanation for anomalies/outliers identified during analysis
  • Works with business functions and analytics teams t
Original posting on TD's site ↗

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