EACX Lead / Data Engineer Lead

Overview:

Role: EACX Lead / Data Engineer Lead

Location: ONSITE - Minneapolis, MN

Experience: 10+ Years

Job Summary

We are seeking an experienced EACX Lead to drive data-driven customer experience and analytics initiatives across Financial Services and Marketing domains. This role will lead insight generation, advanced analytics, and CX strategy by collaborating with business, data, and technology stakeholders. The ideal candidate brings strong domain expertise in Banking & Payments, excellent client-facing skills, and hands-on experience with analytics and machine learning tools.

Key Responsibilities

• Lead and support business intelligence, data science, data engineering, and data product initiatives across customer experience (CX) and marketing domains.
• Drive analytics for UX Research, CX Analysis, Market Research, Web Content Publishing, and Personalization Deployments .
• Extract actionable insights and build analytical models using advanced analytics and machine learning techniques .
• Leverage domain-specific data products to generate meaningful insights that support business decision-making.
• Collaborate closely with Domain Data Stewards and Data Product Owners to understand business objectives and translate them into data-driven hypotheses and solutions.
• Analyze gaps between business needs and existing systems , and propose optimal functional and analytical solutions.
• Communicate findings, insights, and recommendations effectively through visualizations, dashboards, reports, and executive presentations .
• Provide client management and leadership , working effectively across cross-functional teams including business, technology, and analytics stakeholders.
• Influence and guide stakeholders toward data-driven strategies and CX improvements .

Required Skills & Qualifications

• 10+ years of experience in analytics, data science, or CX roles within Financial Services (Banking & Payments) and Marketing domains.
• Strong experience supporting Business Intelligence, Data Science, Data Engineering, and Data Products .
• Hands-on expertise with Python-based analytics tools , including DataRobot and Jupyter Notebooks .
• Solid understanding of machine learning, statistical modeling, and advanced analytics techniques .
• Proven ability to translate complex data into clear, actionable business insights.
• Strong experience in gap analysis, solution design, and functional problem-solving .
• Excellent client-facing, leadership, and stakeholder management skills .
• Strong communication skills with the ability to present insights to senior leadership.

Nice to Have

• Experience working in enterprise-scale CX or personalization platforms .
• Exposure to marketing analytics, customer journey analytics, or personalization engines .
• Experience leading or mentoring analytics teams.