招聘

AI, Data foundation & Business Process Solution Lead
Wilmington, DE, United States, US
·
On-site
·
Full-time
·
3w ago
Are you ready to shape the future of marketing through artificial intelligence and modern data architecture? Join us as a Marketing Transformation Lead for Home Lending and play a pivotal role in building agile, data-driven marketing operations. You’ll collaborate with cross-functional teams to deliver innovative solutions, drive campaign automation, and support our vision for advanced marketing capabilities. We value strategic, tech-savvy leaders who thrive in dynamic environments and are committed to excellence.
As a Marketing Transformation Lead – Home Lending, AI & Data Foundation in our Marketing team, you will drive the advancement of marketing capabilities through AI and modern data architecture. You will build foundational data systems, implement AI-driven campaign execution ecosystems, and collaborate with Marketing, Product, Technology, and Data & Analytics teams to deliver agile, data-driven marketing operations.
Job Responsibilities
- Develop and execute roadmaps for marketing campaign operational data products
- Lead the implementation of AI-ready data architecture to support campaign business processes and automated workflows
- Partner with Data & Analytics teams to establish unified customer data platforms aggregating operational, audience, and performance data
- Support the delivery of integrated workflow orchestration connecting legacy and AI-enabled systems
- Lead the implementation of AI agents for campaign automation and optimization
- Drive transformation of content development and asset management leveraging advanced marketing technologies
- Collaborate with Marketing, Product, Technology, and Data & Analytics teams on platform development and integration
- Support marketing data and technology governance initiatives, ensuring compliance and risk management
- Drive stakeholder alignment on transformation priorities and resource allocation
Required Qualifications, Capabilities, and Skills
- Minimum 7 years leading marketing transformation projects with a focus on AI/ML implementation and data architecture
- Proven experience in technology strategy and execution, including end-to-end management from business objectives through Agile delivery of complex, multi-system integrations
- Hands-on expertise with AI/ML, agentic workflows, and marketing automation
- Strong cross-functional leadership skills, with the ability to drive alignment across diverse teams
- Advanced communication skills, with the ability to translate complex technical concepts for senior leadership and drive adoption across stakeholder groups
Preferred Qualifications, Capabilities, and Skills
- Experience with Martech platforms
- Knowledge of marketing regulations and compliance requirements in financial services or other regulated industries
- Experience with Agile/Scrum methodologies and product management frameworks
- Master’s degree or MBA in Information Systems, Data Science, or a related technical field
- Experience working in multinational organizations
- Commitment to accuracy and compliance
- Proven ability to drive process improvements
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关于JPMorgan Chase

JPMorgan Chase
PublicJPMorgan Chase & Co. is an American multinational banking institution headquartered in New York City and incorporated in Delaware. It is the largest bank in the United States, and the world's largest bank by market capitalization as of 2025.
300,000+
员工数
New York City
总部位置
$500B
企业估值
评价
3.8
10条评价
工作生活平衡
3.2
薪酬
4.1
企业文化
3.8
职业发展
3.0
管理层
2.5
65%
推荐给朋友
优点
Good benefits and compensation
Supportive and collaborative environment
Flexible work arrangements
缺点
Long hours and heavy workload
Management issues and lack of direction
High stress during peak times
薪资范围
41个数据点
Mid/L4
Senior/L5
Mid/L4 · Applied AI ML Associate
2份报告
$188,500
年薪总额
基本工资
$145,000
股票
-
奖金
-
$182,000
$195,000
面试经验
5次面试
难度
3.0
/ 5
时长
14-28周
录用率
40%
体验
正面 20%
中性 80%
负面 0%
面试流程
1
Application Review
2
HireVue Video Interview
3
Recruiter Screen
4
Superday/Panel Interview
5
Final Interview
6
Offer
常见问题
Behavioral/STAR
Technical Knowledge
Culture Fit
Past Experience
Case Study
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