Hybrid Marketing Data Product Lead

KeyBank

Buffalo (NY)

Hybrid

USD 80,000 - 150,000

Full time

14 days+
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Benefits offered by this job

Hybrid work model
In-office 3 days a week

Job summary

KeyBank is seeking a Data & Business Intelligence Senior Associate to serve as the critical link between Marketing, Analytics, Data Engineering, and Technology. The role blends business acumen, product ownership, and technical expertise to design, deliver, and optimize marketing data products powering customer insights, campaign execution, measurement, personalization, and advanced analytics.

The ideal candidate translates business requirements into scalable technical solutions while

Qualifications

  • 3+ years of experience in data engineering, analytics engineering, marketing analytics, or data product management.
  • Experience working with both business stakeholders and technical development teams.
  • Experience supporting enterprise-scale data platforms and marketing data ecosystems.
  • Experience translating business requirements into technical solutions.

Responsibilities

  • Define and maintain the vision, roadmap, and priorities for marketing data products with leadership.
  • Design scalable data pipelines and data models with data engineering teams.
  • Create reporting-ready data products for dashboards, scorecards, and executive reporting.
  • Establish data definitions, metadata, lineage, and governance rules.
  • Enable self-service reporting and support customer journey analytics and attribution.

Skills

SQL
Python
Jira
BI concepts

Education

Bachelor's degree in Data Science/CS/Analytics

Tools

Tableau
Power BI
Looker
Snowflake
GCP/AWS/Azure

Job description

KeyBank is seeking a Data & Business Intelligence Senior Associate to serve as the critical link between Marketing, Analytics, Data Engineering, and Technology. The role blends business acumen, product ownership, and technical expertise to design, deliver, and optimize marketing data products powering customer insights, campaign execution, measurement, personalization, and advanced analytics.

The ideal candidate translates business requirements into scalable technical solutions while

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