
Global financial services firm
HR Chief Data Office - Talent Data Product Management - Executive Director
必須スキル
SQL
JPMorgan Chase is seeking a Data Product Manager to lead the strategy and delivery of data products supporting Talent Acquisition and Workforce Planning within the HR Data Products organization. This leader will define and execute a roadmap that advances JPMC’s vision of providing a cohesive, frictionless, and personalized hire and onboarding experience through curated, high-quality, well-governed, data offerings.
As a Data Product Manager within the HR Data Products, you will collaborate with stakeholders across Business Intelligence, AI/ML, Product, Information Architecture, and Data Engineering to develop and deliver data products that enable seamless hiring and off-boarding journeys. This role is critical to modernizing the firm’s talent data ecosystem and empowering HR, business, and technology teams with actionable, trusted data.
Key Responsibilities:
- Define and deliver the strategy and roadmap for Talent Acquisition and Off-boarding data products, aligned to stakeholder priorities and firmwide vision.
- Conduct user discovery and stakeholder interviews to gather business requirements, pain points, and opportunities for improvement.
- Partner with Business Intelligence, AI/ML, and Product teams to ensure data products meet reporting, analytics, and automation needs.
- Collaborate with Information Architecture and Data Engineering to onboard new data sources and transform them into performant, fit-for-purpose data offerings.
- Establish and maintain strong data governance, quality, and lifecycle management practices for talent data, ensuring compliance with firmwide standards.
- Own the development and maintenance of data catalog, metadata, glossary, and lineage capabilities for Talent Acquisition and Off-boarding datasets.
- Drive continuous improvement in data product offerings through stakeholder feedback, usage insights, and industry best practices.
Required qualifications:
- 8+ years of experience or equivalent expertise delivering products, projects, or technology applications
- Demonstrated ability to take an incremental, sequenced approach to data product development, balancing within one data product the needs of technical vs. non-technical users as well as varied use-cases
- Strong understanding of modern data platforms, cloud ecosystems, entitlement and catalog tools, and data quality systems.
- Proficiency in SQL to facilitate data testing, validation, and to help users understand, access, and utilize data products effectively
- Experience with data onboarding, metadata management, governance workflows, and compliance requirements in complex enterprise environments
- Excellent stakeholder engagement skills, with ability to translate technical capabilities into clear business outcomes
- Familiarity with control-heavy or compliance-driven environments, including regulatory data requirements and multiple lines of defense
Preferred Qualification:
- Experience working with Talent-related processes, systems, or data preferred
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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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