
Global financial services firm
Data Owner Vice President - Connected Commerce
必須スキル
AWS
Azure
Spark
Join a team that leverages our strong merchant relationships, our 65 million customer base, and industry leading customer insights to find, attract, and engage intended audiences throughout their purchase journeys.
As a Data Owner Lead, within Connected Commerce, you will be part of a highly collaborative data & analytics team that partners with product, design, technology, marketing, and analytics to enable data driven next generation and help craft the data requirements, develop data specifications for data delivery, partner with data delivery tech and product and analytics team to identify data gaps and make recommendations to build AI/ML based solutions.
Job responsibilities
- Partner with Product Owners, Data Scientists, Analysts, and Tech Leads to identify data needed for personalization product capabilities and advanced analytics outcomes, such as customer insights and deeper offer engagement.
- Drive increased business value by aligning cross-functional teams to support data-driven personalization initiatives.
- Manage the personalization data roadmap, including backlog, requirements, and prioritization to ensure strategic alignment and delivery.
- Lead discovery for new initiatives by determining and refining both business and customer value.
- Collaborate with technology partners to assess technical feasibility and data availability for new projects.
- Refine and prioritize user stories to ensure consumer experience requirements are met.
- Lead sprint planning, execution, and other scrum events for technology development teams focused on consumer experience enhancements.
Required qualifications, capabilities, and skills
- 6+ years of experience in data management, data governance, ad-tech, Knowledge of cloud platforms like AWS, Google or Azure, and/or experience with big data technologies like Hadoop, Spark, etc.
- Bachelors in Science or Data or any relevant field.
- Experience developing roadmaps and public cloud platform based solutions for data lake, data warehouse and business intelligence dashboards
- An outstanding ability to analyze problems, apply quantitative analytical approaches, communicate effectively and confidently (both oral and written), work well in cross-functional teams
- Ability to identify and address program execution needs in a fast-paced environment; previous exposure to agile practices and ability to adapt agile tools
- Experience in Data Product ownership, Data governance and ability to work a cross functional & matrix teams, public cloud.
- Ability to partner directly with technology scrum teams to translate product requirements and user stories into technology sizing estimates and requirements
Preferred qualifications, capabilities, and skills
- Experience working on public cloud platforms, AI/ML, digital marketing, controls partners to align roadmap
- Experience in consumer banking, and/or consulting
- Understanding of public cloud technologies, web application frameworks and mobile native technologies
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JPMorgan Chaseについて

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+
従業員数
New York City
本社所在地
$500B
企業価値
レビュー
10件のレビュー
3.8
10件のレビュー
ワークライフバランス
3.5
報酬
4.0
企業文化
3.8
キャリア
3.2
経営陣
2.8
68%
知人への推奨率
良い点
Good benefits and compensation
Supportive colleagues and environment
Flexible work arrangements
改善点
Long hours and heavy workload
Management issues and lack of direction
High stress and expectations
給与レンジ
44件のデータ
Junior/L3
Mid/L4
Senior/L5
Junior/L3 · Analytics Solutions Associate
1件のレポート
$139,000
年収総額
基本給
$107,000
ストック
-
ボーナス
-
$139,000
$139,000
面接レビュー
レビュー4件
難易度
3.0
/ 5
期間
14-28週間
内定率
50%
体験
ポジティブ 25%
普通 75%
ネガティブ 0%
面接プロセス
1
Application Review
2
HR Screen
3
Hiring Manager Interview
4
In-person/Final Interview
5
Offer
よくある質問
Behavioral/STAR
Past Experience
Culture Fit
Financial Knowledge
Case Study
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