Product Analyst

Athene•Austin, CO

17d

About The Position

Help shape Athene’s founding engineering team in Austin and the technology platform that transforms how annuity and retirement products are distributed and managed. The Product Analyst connects strategy with engineering execution by evaluating partner platforms and integration options, analyzing data and system capabilities, translating approved priorities into well-defined requirements, and equipping Athene and Apollo leadership with technically grounded recommendations. The role reports to the SVP, Technology and works closely with Engineering, Architecture, Distribution, Actuarial, partner organizations, West Des Moines teams, and external partners. The position offers an opportunity to influence a new platform with executive sponsorship, combining Athene’s scale and Apollo partnership with a culture of innovation, ownership, and BEAM values. The Product Analyst assesses platforms, partners, APIs, distribution platforms, data providers, and technology vendors against functional, technical, and commercial criteria. The role maintains capability comparisons, identifies integration gaps, and recommends build, buy, or partner paths with clear evidence and assumptions. It owns the product roadmap and backlog by translating strategic priorities into problem statements, requirements, user stories, and acceptance criteria, and partners with the engineering lead to prioritize delivery and resolve technical and business trade-offs. The role leads technical discovery with business, engineering, and partner teams; maps current-state systems, data flows, and transaction paths; defines target-state workflows; documents decisions; and coordinates dependencies. It also assesses whether available data, data models, and partner capabilities support intended products and transactions, and defines platform metrics and instrumentation to measure delivery progress, adoption, and business impact. The Product Analyst sizes opportunities, develops business cases, and prepares executive presentations and decision memos that explain options, trade-offs, risks, and expected outcomes grounded in technical reality. The role applies AI tools to research, analysis, prototyping, and drafting, verifies sources and conclusions, and shares effective workflows while protecting confidential information.

Requirements

At least 3 years of technical product analysis, product management, systems analysis, or relevant professional experience in a software or financial technology environment is preferred.
Working fluency with APIs, data models, integration patterns, and modern platform architecture, including the ability to read technical documentation, participate credibly in design discussions, and evaluate partner systems.
Experience partnering with software engineering teams as a product owner, product analyst, business analyst, or similar contributor, including writing requirements and acceptance criteria, refining backlogs, and making priority trade-offs.
Strong research and analytical skills, including structuring ambiguous questions, evaluating evidence, sizing opportunities, and building defensible business cases.
Clear, persuasive written and verbal communication, including translating technical analysis into recommendations for senior leaders and responding thoughtfully to challenge.
Fluency with AI tools for research, analysis, and prototyping, supported by sound judgment and disciplined verification.
Curiosity, adaptability, critical thinking, and a bias for action.
Bachelor’s degree in Computer Science, Engineering, Information Systems, Business, Finance, or a related field, or equivalent relevant experience.

Nice To Haves

Experience with SQL, data analysis, or quantitative modeling is preferred.
Knowledge of annuities, retirement products, wealth management platforms, or registered investment adviser distribution.
A relevant graduate degree is preferred.

Responsibilities

Evaluate partner platforms, APIs, distribution platforms, data providers, technology vendors, and integration options against functional, technical, and commercial criteria.
Maintain capability comparisons, identify integration gaps, and recommend build, buy, or partner approaches supported by evidence and assumptions.
Own the product roadmap and backlog, translating strategic priorities into problem statements, requirements, user stories, and acceptance criteria.
Partner with the engineering lead to prioritize delivery, resolve technical and business trade-offs, and align development with platform objectives.
Facilitate technical discovery with business, engineering, and partner teams.
Map current-state systems, data flows, and transaction paths; define target-state workflows; document decisions; and coordinate dependencies with West Des Moines teams and external partners.
Assess whether data, data models, and partner capabilities support intended products and transactions.
Define platform metrics and instrumentation to track delivery progress, adoption, and business impact.
Size opportunities, develop business cases, and create executive presentations and decision memos explaining options, trade-offs, risks, and expected outcomes.
Apply AI tools to research, analysis, prototyping, and drafting; validate sources, calculations, and conclusions; and share effective workflows while protecting confidential information.