AML Data Product manager- Anti Money Laundering (AML) | Remote

We're looking for a strategic and hands-on Data Product Manager to lead the development of cutting-edge data products in the banking domain. You’ll bridge the gap between business, data products, and data engineering to deliver insights that power everything from risk management to personalized customer experiences.

 AML Product manager – Remote Role 

Must Have Skills –

Skill 1 – Yrs of Exp – Product management

Skill 2 – Yrs of Exp – Anti Money Laundering (AML)

Skill 3 – Yrs of Exp – KYC

Skill 4 – Yrs of Exp – Data products

Good To have Skills –

Skill 1 – Yrs of Exp – Strong business communication

Skill 2 – Yrs of Exp – Agile

Domain Experience  – Banking

What You’ll Do:

·         Define and own the roadmap for key data products that support banking operations, regulatory reporting and BSA/AML, KYC, Sanction Screening and Financial Crimes operations.

·         Partner with stakeholders in risk, compliance, retail, and corporate banking to understand their data needs and pain points.

·         Collaborate with Data engineering/ETL/OFSAA and data product teams to deliver high-quality, scalable data solutions.

·         Translate business goals into product features, data models, and actionable KPIs.

·         Ensure products comply with data governance, privacy, and regulatory requirements (e.g., Basel, AML, GDPR).

·         Advocate for data quality, consistency, and accessibility across the organization.

·         Monitor adoption and success metrics, and continuously optimize based on user feedback.

What We’re Looking For:

·         15+ years of experience in product management, preferably with data products.

·         5+ years Banking and regulatory data background.

·         Solid understanding of banking products, data workflows, and regulatory requirements.

·         Experience working with large datasets, data platforms (e.g., Snowflake, Hadoop, Oracle), and analytics tools.

·         Strong communication skills — able to clearly explain data concepts to non-technical stakeholders.

·         Proven track record of launching successful data or analytics products.