Technical Director-Data Enablement

About Our Company

We’re a diversified financial services leader with more than $1.5 trillion in assets under management, administration and advisement as of year-end 2024. Our team of 22,000 people across 19 countries serves more than 3.5 million individual, small business and institutional clients. We are a longstanding leader in financial planning and advice, a global asset manager and an insurer. Our unwavering focus on our clients and strong financial foundation connects each of our unique businesses – Ameriprise Financial, Columbia Threadneedle Investments and River Source Insurance and Annuities.

Here, we foster meaningful careers, invest in the future, and make a difference for clients, institutions and communities around the world.

Ameriprise Financial is recruiting for a Data Enablement Lead to join the team! The Data Enablement Lead position is critical in shifting the organization from a platform-centric to a domain-oriented approach for delivering data products. It ensures that technology investments in Snowflake, AWS, and lakehouse architectures result in tangible business value, while building trust and promoting reuse of mission-critical data for investment processes, performance reporting, risk oversight, and client transparency.

The role also lays the groundwork for scalable advanced analytics, AI, and regulator-ready data consumption.

• Lead Enterprise Data Enablement Strategy
• Define and execute the enterprise vision for data enablement by establishing standards and scalable patterns for data products, including ownership models, data contracts, metadata, quality metrics, SLAs, lifecycle management, and stewardship.
• Drive a domain‑aligned approach across ABOR, IBOR, Performance & Attribution, Holdings, Transactions, Benchmarks, and Reference Data to ensure data is trusted, reusable, and decision‑ready across the firm.
• Enable Scalable Data Products on Modern Platforms
• Accelerate business value by enabling consistent delivery of data products on AWS‑ and Snowflake‑based lakehouse architectures.
• Partner closely with data platform engineering and architecture teams to ensure robust enablement for ingestion, transformation, analytics, and consumption, while promoting reusable patterns that support analytics, AI/ML, regulatory, and client‑facing use cases.
• Drive Adoption, Trust, and Self‑Service by Design
• Champion enterprise adoption of data through self‑service, discoverability, and usability enabled by data intelligence and governance platforms.
• Ensure data products are governed by design—balancing regulatory, risk, and compliance requirements with agility—so consumers can confidently discover, understand, and use data at scale.
• Shape the Enterprise Data Operating Model
• Define and institutionalize effective engagement and collaboration models across data domains, product owners, platform teams, architecture, and consumers.
• Link data enablement initiatives directly to strategic business outcomes, including faster decision‑making, operational efficiency, strengthened risk management, and enhanced client and distribution experiences.
• Provide Strategic Leadership to Data Enablement Teams
• Lead, develop, and mentor a high‑performing team of senior data enablement and data product leaders.
• Build organizational capability through effective hiring, coaching, and rigorous performance and talent management, while fostering a culture of accountability, reuse, and enterprise data stewardship.
• Enable Reliable Delivery and Data Operations Excellence
• Ensure data enablement solutions meet business expectations for quality, availability, scalability, and timeliness.
• Drive operational excellence through disciplined planning and delivery practices, release management, service level management, monitoring, issue resolution, and change management for business‑critical data assets.
• Establish and Evolve Enterprise Data Standards and Practices
• Champion adherence to enterprise data standards, architectural principles, SDLC practices, and quality frameworks.
• Continuously evolve data enablement capabilities by defining and implementing new methodologies, patterns, and standards that scale…