Product Owner, Asset Management

Luma Financial Technologies•Cincinnati, OH

1d•$130,000 - $170,000•Hybrid

About The Position

Luma Financial Technologies is expanding into asset management and seeks a Product Owner to lead product delivery for ETFs, Actively Managed Certificates (AMCs), Separately Managed Accounts (SMAs), and related products across its Lifecycle Manager and Product Marketplace platforms, including the data connectivity that supports them. This external-facing role manages client and partner relationships through requirements, design, testing, and launch, and calls for strong organizational discipline, adaptability, and sound judgment in balancing near-term execution with longer-term platform objectives. The Product Owner leads end-to-end delivery using Luma’s AI-Driven Development Lifecycle (AI-DLC), from discovery and design through development, QA, release, and post-launch evaluation. They translate complex asset-management workflows into detailed requirements, user stories, and acceptance criteria; manage competing initiatives; collaborate with Engineering on planning and delivery; and coordinate with business stakeholders, clients, and market participants. The role also owns the roadmap for data connectivity with ETF providers, DTCC, custodians, and other participants, and applies asset-management expertise to ensure platform workflows reflect market practices. The role partners with UX and design teams, conducts UAT, supports QA, improves reporting and workflows, coordinates support and release readiness, and creates product documentation, training, and release communications. It also coordinates across product lines to promote shared standards, scalable design, and clear management of dependencies. The successful candidate is expected to use AI-enabled product and design tools—including tools for prototyping, requirements, test scenarios, and delivery—to improve product execution.

Requirements

At least 7 years of experience with ETFs, AMCs, SMAs, similarly related products, or related asset-management domains.
Experience at a fintech platform, an asset management company that creates and manages ETFs, a custodian, or a similar institution.
Demonstrated ability to manage multiple simultaneous initiatives while maintaining strong execution discipline.
Agility and adaptability, including the ability to reprioritize quickly as circumstances evolve.
Skill in AI-DLC execution and a track record of delivering complex software capabilities using modern, AI-enabled delivery methods.
Ability to use AI tools to rapidly deliver prototypes, requirements, and test scenarios.
Excellent communication, organization, and cross-functional leadership skills.
Ability to direct client and partner engagements with little oversight.
Experience with Jira, Figma, Anthropic, and OpenAI, and openness to adopting new AI-enabled productivity tools.
Data knowledge relevant to ETFs, AMCs, SMAs, or related products.
Applicants must be legally authorized to work in the country of employment without current or future employment-based immigration sponsorship from Luma.

Nice To Haves

Background at an asset-management company that creates and manages ETFs, such as Invesco, BlackRock, or a similar firm.
Experience working with ETF providers, custodians, DTCC, or other related market participants.
Understanding of ETF, AMC, SMA, or similarly related product lifecycle processes, data connectivity, and compliance considerations.
Background working in modular or multi-team product environments, such as Lifecycle Manager and Product Marketplace.
Familiarity with data analytics and reporting tools.
An MBA, CPA, or other qualification; the posting does not specify which other qualification.

Responsibilities

Own end-to-end execution of Luma’s AI-DLC for asset-management capabilities, from discovery and design through development, QA, release, and post-launch evaluation.
Use the AI-DLC process to accelerate discovery, requirements drafting, and delivery.
Translate asset-management workflows into detailed requirements, user stories, and acceptance criteria.
Manage multiple high-priority initiatives across Lifecycle Manager and Product Marketplace, using structured planning and active communication.
Reprioritize as new information, constraints, market conditions, or business needs emerge.
Collaborate with Engineering on sprint planning, backlog refinement, and milestone management.
Manage client and partner relationships through requirements, design, testing, and launch.
Serve as the liaison between business teams and Engineering, ensuring aligned priorities and clear requirements.
Partner with Sales, Trading, Operations, Asset Managers, ETF Providers, Custodians, Legal/Compliance, and Client Success to refine workflows and validate solutions.
Communicate progress, risks, dependencies, scope changes, and evolving priorities to stakeholders.
Use AI design tools, Jira’s AI-enabled backlog and ticket-generation features, and other emerging technologies to accelerate discovery, documentation, and execution.
Use AI tools to generate wireframes, user flows, test cases, release notes, and dependency analysis, and identify tools that improve efficiency and scalability.
Apply asset-management subject-matter expertise to ensure platform workflows reflect ETF, AMC, SMA, and related-product practices.
Understand product lifecycles from creation and issuance through lifecycle events, including rebalancing and secondary-market considerations.
Own the roadmap for data connectivity with ETF providers, DTCC, custodians, and other market participants, ensuring accurate and timely platform data flows.
Represent the workflow perspectives of asset managers, ETF providers, custodians, distributors, and operations teams.
Partner with UX/design teams to support clean, intuitive, and compliant workflows.
Use AI-driven tools such as Claude Code, Cowork, and Draw to create prototypes for demonstrations, requirements refinement, and testing considerations.
Conduct UAT, support QA feedback loops, and validate feature readiness for deployment.
Improve dashboarding, reporting, and workflow efficiencies across asset-manager and provider interfaces.
Work with Client Success to prioritize and resolve support issues with clear SLAs.
Develop product documentation, process materials, and release communications.
Support adoption of releases through training and stakeholder enablement.
Coordinate across product lines to establish unified standards, shared components, and scalable system design.
Identify upstream and downstream dependencies, particularly in data connectivity, and proactively communicate their impact.