Lead, Product Manager & Business Systems Analyst

Fashionphile•Dallas, TX

About The Position

FASHIONPHILE is revolutionizing the ultra-luxury fashion experience by creating a sustainable alternative that extends the product lifecycle and increases accessibility. As we aim to be the world's most sought-after brand in luxury re-commerce, our team members are crucial to our success. We value diversity in our people, perspectives, and products, believing it fosters the creativity and innovation needed to achieve our mission and serve our customers. We operate both in-person and through digital omni-channel experiences. We seek individuals who embrace change, are authentic, and are driven to make an impact. About The Opportunity The Lead, Product Manager & Business Systems Analyst (internally known as Lead, Experience Optimization) is a senior, hands-on role focused on leading complex improvement initiatives from problem discovery through implementation and measurement. This role involves investigating and defining significant customer and business problems by synthesizing data, customer feedback, operational insights, frontline observations, system behavior, and technical context to identify root causes. The position requires designing practical future states that integrate customer interactions, business rules, roles, workflows, communications, data, systems, and controls. Responsibilities include evaluating process or policy changes, optimizing the use of existing platforms, configuring SaaS solutions, assessing vendor capabilities, managing integrations, implementing automation, developing AI-enabled workflows, and overseeing custom software development. The role entails leading complex initiatives from discovery through solution selection, delivery, launch, adoption, stabilization, and learning, managing fit-for-purpose plans, sequencing, dependencies, decisions, risks, testing, readiness, and communication. A key aspect is partnering directly with SaaS providers, implementation partners, Technology, Engineering, Architecture, Data, and Security teams, as well as platform owners. This involves translating customer and business problems into functional behavior, data requirements, integrations, dependencies, and success criteria, while actively contributing to feasibility and design decisions and recommending build, buy, configure, integrate, or partner approaches. The role also includes developing evidence-based recommendations for prioritization within a primary lane and translating approved Experience Optimization strategy into executable work.

Requirements

Bachelor's degree or equivalent combination of education and relevant experience
Min. of 10+ years of progressively responsible experience leading customer, digital, product, operational, technology-enabled, or enterprise improvement work
Significant hands-on experience diagnosing problems across people, process, policy, data, systems, vendors, and organizational boundaries
Experience leading complex initiatives from discovery and future-state design through implementation, adoption, and measurement
Experience translating customer and business problems into functional behavior, requirements, data needs, integrations, acceptance criteria, and measures
Experience partnering with SaaS providers and technical teams to configure, integrate, extend, or co-design solutions
Experience working in matrixed teams where people and expertise move across priorities

Responsibilities

Personally investigating and framing consequential customer and business problems.
Combine data, customer feedback, operational insight, frontline observations, system behavior, and technical context to separate symptoms from root causes.
Designing practical future states connecting customer interactions, business rules, roles, workflows, communications, data, systems, and controls.
Evaluating process or policy changes, better use of existing platforms, SaaS configuration, vendor capabilities, integrations, automation, AI-enabled workflows, and custom software.
Personally leading complex initiatives from discovery through solution selection, delivery, launch, adoption, stabilization, and learning.
Manage fit-for-purpose plans, sequencing, dependencies, decisions, risks, testing, readiness, and communication.
Partnering directly with SaaS providers, implementation partners, Technology, Engineering, Architecture, Data, Security, and platform owners.
Translate customer and business problems into functional behavior, data needs, integrations, dependencies, and success criteria.
Contribute actively to feasibility and design decisions and recommend build, buy, configure, integrate, or partner approaches.
Developing evidence-based recommendations for priorities within a primary lane and translate approved Experience Optimization strategy into executable work.