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Senior Manager-Data Analytics

New York, NY, United States

Pay
Pay not listed
Work setting
Hybrid — work setting source
Work setup in the employer’s listing: Hybrid
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Employment
Full-time — employment source
Employment type in the employer’s listing: Full time
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Before you apply

Sponsorship
Visa sponsorship not confirmed — sponsorship source
Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.
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What you’ll work on

Full posting
  • Design and build analytical solutions and data products for digital acquisition targeting

  • Own end-to-end analyses of audience segmentation, experimentation and funnel optimization

  • Design test structures, evaluate results and recommend conversion and efficiency improvements

  • Apply AI and GenAI techniques to improve targeting precision and analytical productivity

  • Present findings and strategy implications to leaders and stakeholders

From the employer’s posting
Develop analytical solutions and data products that improve targeting accuracy, personalization, and digital acquisition performance for the entire digital journey.
Own end-to-end analyses focused on audience segmentation, experimentation, funnel optimization, and identification of acquisition opportunities.
designing test structures, evaluating results, and making actionable recommendations to improve conversion and efficiency.
Apply emerging AI and GenAI techniques, such as intelligent customer journey optimization, semantic modeling and automated insights to enhance targeting precision and analytical productivity.
Synthesize insights and clearly communicate findings and strategy implications to leaders and stakeholders across the organization.

What you’ll bring

All qualifications

Core experience

  • Ability to translate data into insights and clearly communicate recommendations to business partners.
  • Experience collaborating within cross-functional teams and influencing decisions through data-driven insights.
  • Demonstrated ability to manage multiple priorities in a fast-paced, dynamic environment.

Preferred experience

  • Experience with building ML models like XGBoost, K-Means, etc with proficiency in analytical tools such as SQL, Python, or similar; knowledge of digital analytics or experimentation frameworks is a plus.
  • Master’s Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).
  • Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy.
  • Familiarity with digital ecosystem tools such as clickstream analytics platforms, identity frameworks, or real-time recommender systems.
Qualification wording
Ability to translate data into insights and clearly communicate recommendations to business partners.
Experience collaborating within cross-functional teams and influencing decisions through data-driven insights.
Demonstrated ability to manage multiple priorities in a fast-paced, dynamic environment.
Experience with building ML models like XGBoost, K-Means, etc with proficiency in analytical tools such as SQL, Python, or similar; knowledge of digital analytics or experimentation frameworks is a plus.
Master’s Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).
Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy.
Familiarity with digital ecosystem tools such as clickstream analytics platforms, identity frameworks, or real-time recommender systems.
Education & alternatives
Preferred Qualifications: - Master’s Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics). - Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy.

Tools in this posting

  • Python
  • SQL
  • Google Cloud Storage
  • XGBoost
Source — Tool mentions in context
- Strong analytical and problem-solving skills with experience working through complex, ambiguous business questions. - Experience with building ML models like XGBoost, K-Means, etc with proficiency in analytical tools such as SQL, Python, or similar; knowledge of digital analytics or experimentation frameworks is a plus. - Ability to translate data into insights and clearly communicate recommendations to business partners.
American Express Global Commercial Services (GCS) is the leading payment card issuer for corporations and small businesses with products and services to help them run and grow their business. The Analytics, Investments and Marketing Enablement (AIM) team—within Global Commercial Services Marketing (GCSM)—is the analytics engine powering Commercial customer acquisition, engagement, and retention. AIM develops insights, data products, and analytical solutions that shape smarter marketing and powerful digital experiences. This role sits within the Paid Media Analytics team, supporting strategy, analytics and optimization across platforms. The team partners closely with Marketing to drive advanced audience targeting, optimize media performance, and build the next generation of Paid Media capabilities using data, advanced analytics, and emerging AI.

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First seen by us
Aug 21, 2026 · 61 days ago
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Last seen by us
Oct 21, 2026

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Job description

View original posting ↗

American Express Global Commercial Services (GCS) is the leading payment card issuer for corporations and small businesses with products and services to help them run and grow their business. The Analytics, Investments and Marketing Enablement (AIM) team—within Global Commercial Services Marketing (GCSM)—is the analytics engine powering Commercial customer acquisition, engagement, and retention. AIM develops insights, data products, and analytical solutions that shape smarter marketing and powerful digital experiences.

This role sits within the Paid Media Analytics team, supporting strategy, analytics and optimization across platforms. The team partners closely with Marketing to drive advanced audience targeting, optimize media performance, and build the next generation of Paid Media capabilities using data, advanced analytics, and emerging AI.

How will you make an impact in this role?

As a Senior Manager, you will lead analytical work that fuels the Paid Media strategy for commercial Audience. You will design and implement data-driven strategies, build scalable analytical solutions, and collaborate across business, digital, and technology teams to optimize targeting, personalization, and prospect conversion. This role is ideal for someone who is passionate about digital marketing analytics, audience strategy and applying emerging AI/GenAI techniques to transform Paid Media outcomes.

  • Develop analytical solutions and data products that improve targeting accuracy, personalization, and digital acquisition performance for the entire digital journey.
  • Own end-to-end analyses focused on audience segmentation, experimentation, funnel optimization, and identification of acquisition opportunities.
  • Build and enhance models and decisioning strategies, leveraging AMEX’s vast first-party data and evolving digital intelligence capabilities.
  • Apply emerging AI and GenAI techniques, such as intelligent customer journey optimization, semantic modeling and automated insights to enhance targeting precision and analytical productivity.
  • Drive experimentation, performance measurement and Investment optimization - designing test structures, evaluating results, and making actionable recommendations to improve conversion and efficiency.
  • Collaborate closely with cross-functional partners across American Express to ensure implementation of analytical solutions and ensure business impact.
  • Synthesize insights and clearly communicate findings and strategy implications to leaders and stakeholders across the organization.
  • Champion innovation and continuous improvement, bringing forward new ideas in digital analytics, advanced modeling techniques, Gen AI use-cases and scalable data automation that future-proof AMEX’s digital acquisition engine.

Minimum Qualifications:

  • Strong analytical and problem-solving skills with experience working through complex, ambiguous business questions.
  • Experience with building ML models like XGBoost, K-Means, etc with proficiency in analytical tools such as SQL, Python, or similar; knowledge of digital analytics or experimentation frameworks is a plus.
  • Ability to translate data into insights and clearly communicate recommendations to business partners.
  • Experience collaborating within cross-functional teams and influencing decisions through data-driven insights.
  • Demonstrated ability to manage multiple priorities in a fast-paced, dynamic environment.

 

Preferred Qualifications:

  • Master’s Degree in a quantitative field (e.g., Engineering, Mathematics, Finance, Computer Science, Statistics, Economics).
  • Experience in digital marketing analytics, personalization, website optimization, or acquisition strategy.
  • Familiarity with digital ecosystem tools such as clickstream analytics platforms, identity frameworks, or real-time recommender systems.
  • Familiarity with Paid Media ecosystem like DSPs, Audience Activation, Cleanrooms etc.
  • Familiarity and interest in applying emerging AI and Gen AI capabilities to improve digital targeting outcomes.
  • Experience designing and analyzing A/B tests, optimizing digital funnels, or improving performance through data-driven experimentation.
  • Strong communication skills with the ability to influence partners and drive action.

 

Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

Source details

View original posting ↗

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Location & working pattern

New York, NY, United States

Working pattern and location restrictions need checking in the full posting.

Work authorization
- Strong communication skills with the ability to influence partners and drive action. Depending on factors such as business unit requirements, the nature of the position, cost and applicable laws, American Express may provide visa sponsorship for certain positions.

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