Role overview

• Lead Data Product is responsible for owning and driving the strategic design, development, and lifecycle management of enterprise Bank-wide Data Products. The role ensures that data across domains is reliable, governed, high-quality, and aligned with organizational objectives. This position leads to cross-functional collaboration between business, data engineering, governance, and architecture teams to deliver scalable and value-driven Data Products on the enterprise data platform.

What you'll do

• Build Lead complex requirement discovery workshops across multiple business units.
• Translate business processes into domain/sub-domain models and data contracts.
• Define Critical Data Elements (CDEs), canonical models, and transformation logic.
• Ensure metadata completeness, lineage traceability, classification, and compliance readiness.
• Drive adoption of governance standards across the domain.
• Oversee end-to-end delivery from requirements design, mapping, implementation, testing, production.
• Validate pipeline logic, data transformation. And work closely with Data Engineering, application owner teams.
• Serve as the primary decision-maker for the domain’s Data Products.
• Conduct presentations, stakeholder alignment, and conflict resolution.

• Work with downstream consumers (analytics, regulatory, risk, finance, operations).
  

Apply now if you have these advantages

• Bachelor or Higher qualifications within a relevant field (Computer/Data Science, Computer Engineer, Finance, etc.)
• At least 8-12 years in Data Engineering, Business Analyst, Data Analytics.
• At least 3-5 years in the banking industryใ
• Experience in designing or owning enterprise-grade Data Products.
• Experience working with multiple stakeholders, complex data flows, and cross-functional teams.
• Strong knowledge of modern data platforms (DWH, Data Lake, Lakehouse, Data Mesh).
• Deep understanding of data modeling (Conceptual/Logical/Canonical).
• Proficient in Python and SQL (or any relevant programming languages) and be able to apply solid software engineering practices (testing, version control, code reviews).
• Ability to read, review, and design mapping sheets, rulebooks, and architecture diagrams.
• Able to validate and challenge data pipeline logic.
• Strong stakeholder leadership and negotiation skills.
• Excellent communication for both technical and non-technical audiences.
• Curious, resilient, and critical thinker, open to feedback and continuous improvement.

• Enterprise Bank Wide, Finance, risk and regulatory data experience (e.g., IECC, IFRS9, Basel, BOT, AML, Credit Risk, Compliance) is an advantage.
  

Why join Krungsri?

• As a part of MUFG (Mitsubishi UFJ Financial Group), we a truly a global bank with networks all over the world.
• We offer a striking work-life balance culture with hybrid work policies (3 days minimum in office per week).
• Unbelievable benefits such as attractive bonuses, employee loan with special rates and many more.
• Strong knowledge of modern data platforms (DWH, Data Lake, Lakehouse, Data Mesh).
• Deep understanding of data modeling (Conceptual/Logical/Canonical).

** Apply now before this role is close. **

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Talent Acquisition Department
Bank of Ayudhya Public Company Limited
1222 Rama III Rd., Bangpongpang, Yannawa, Bangkok 10120

หมายเหตุ ธนาคารมีความจำเป็นและจะมีขั้นตอนการตรวจสอบข้อมูลส่วนบุคคลเกี่ยวกับประวัติอาชญากรรมของผู้สมัคร ก่อนที่ผู้สมัครจะได้รับการพิจารณาเข้าร่วมงานกับธนาคารกรุงศรีฯ

Remark: The bank needs to and will have a process for verifying personal information related to the criminal history of applicants before they are considered for employment with the bank.

Applicants can read the Personal Data Protection Announcement of the Bank's Human Resources Function by typing the link from the image that stated below.

EN (https://krungsri.com/b/privacynoticeen)

ผู้สมัครสามารถอ่านประกาศการคุ้มครองข้อมูลส่วนบุคคลส่วนงานทรัพยากรบุคคลของธนาคารได้โดยการพิมพ์ลิงค์จากรูปภาพที่ปรากฎด้านล่าง

ภาษาไทย (https://krungsri.com/b/privacynoticeth)