Overview

Senior Director, Product Management – Enterprise Strategic Initiatives

Location: Dallas, NYC, NJ

Position Type: Hybrid

Role Summary

The Senior Director, Product Management – Enterprise Strategic Initiatives is responsible for leading the execution of high-impact product initiatives that span multiple brands and enterprise functions. Reporting to the Vice President of Product Management, this role partners closely with Brand Product Directors to deliver shared capabilities, coordinate cross-brand priorities, and accelerate strategic initiatives that create enterprise value.

The ideal candidate is a highly collaborative product leader who excels at influencing without direct ownership, navigating complex organizations, and delivering measurable business outcomes through modern product management practices and AI-enabled innovation.

Responsibilities

Enterprise Product Delivery

Lead the execution of enterprise product initiatives that impact four or more brands.
Partner with Brand Product leads to translate enterprise priorities into actionable product plans.
Drive alignment across cross‑functional teams to ensure successful delivery of shared capabilities.
Identify opportunities to standardize solutions, reduce duplication, and improve scalability across brands.
Coordinate enterprise roadmap dependencies and facilitate cross‑brand planning activities.
Track initiative health, risks, dependencies, and business outcomes throughout the product lifecycle.

Cross‑Brand Collaboration

Build strong partnerships with Brand Product leads to identify opportunities for shared investments and reusable capabilities.
Facilitate alignment across Product, Engineering, UX, Architecture, Data, AI, Marketing, and Operations.
Resolve cross‑functional challenges and proactively manage competing priorities.
Ensure enterprise initiatives support brand objectives while delivering long‑term organizational value.
Drive communication and transparency across participating teams.

AI‑Enabled Product Leadership

Identify opportunities to leverage AI to improve customer experiences and operational efficiency across multiple brands.
Partner with Engineering to evaluate and implement AI‑powered capabilities such as personalization, intelligent search, conversational experiences, predictive insights, and automation.
Champion responsible AI adoption by considering customer value, privacy, governance, and measurable business impact.
Stay current on emerging AI technologies and recommend practical applications that improve product outcomes.

AI‑Driven Product Management

Lead enterprise‑wide adoption of AI‑driven product management practices, embedding AI capabilities across the full product lifecycle (research, discovery, roadmap planning, execution, and analytics) to improve speed, insight quality, and strategic decision‑making.
Define and operationalize AI‑enabled PM frameworks and tools, establishing standards, reusable playbooks, and governance to drive consistency, scalability, and measurable business impact.
Partner cross‑functionally with engineering, data, design, and business leaders to identify high‑value AI use cases, prioritize investments, and translate insights into differentiated product strategies and outcomes.
Build and mentor high‑performing product teams, elevating AI fluency, fostering experimentation, and driving a culture of data‑driven decision‑making and continuous innovation.

Product Discovery & Customer Insights

Lead discovery efforts for enterprise initiatives using customer research, Voice of Customer (VOC), analytics, stakeholder feedback, and market trends.
Validate opportunities through experimentation, rapid prototyping, and iterative learning.
Define measurable success criteria before product investment.
Promote data‑driven decision‑making across enterprise initiatives.

Business Planning & Portfolio Support

Develop business cases, investment recommendations, and ROI analyses for enterprise initiatives.
Support enterprise portfolio planning and prioritization in partnership with Product leadership.
Evaluate trade‑offs across customer value, business impact, technical complexity, and organizational capacity.
Monitor post‑launch performance and measure value realization.

Product Operating Model

Operate within and continuously improve the Product Operating Model by promoting consistent product management practices across enterprise initiatives.
Foster collaboration across cross‑functional Product PODs consisting of Product, Engineering, and Architecture.
Support standardized planning, discovery, prioritization, and product delivery processes.
Mentor Product Managers on modern product management techniques, AI‑enabled workflows, and customer‑centric product development.

Innovation

Evaluate emerging technologies and industry trends that could improve enterprise capabilities.
Recommend innovation opportunities through proof‑of‑concepts and rapid experimentation.
Partner with Architecture and Engineering to assess technical feasibility and implementation approaches.
Drive continuous improvement across enterprise products and delivery practices.

Qualifications

Qualifications – Experience & Capabilities

Bachelor’s degree in Business, Computer Science, Engineering, or related discipline is required.
10+ years of Product Management experience delivering enterprise‑scale digital products.
5+ years leading Product Managers or complex cross‑functional initiatives.
Experience leading cross‑brand, enterprise, or shared capability initiatives.
Strong understanding of Agile product development and modern Product Operating Models.
Demonstrated success influencing stakeholders across highly matrixed organizations.
Experience developing business cases, investment recommendations, and product roadmaps.
Strong analytical, communication, and executive presentation skills.
Experience within multi‑brand retail, eCommerce, or consumer‑facing organizations is highly desirable.
Experience with Salesforce Commerce Cloud, composable commerce, or enterprise digital platforms is a strong plus.
Experience with Customer Data Platforms (CDPs), customer identity, personalization, experimentation, or shared digital capabilities.
Experience launching AI‑enabled products or implementing AI within Product Management practices is beneficial.
Familiarity with Generative AI, machine learning, predictive analytics, and intelligent automation is a plus.
Experience working within cross‑functional Product PODs consisting of Product, Engineering, and Architecture is advantageous.

What You Get

Generous benefits: Medical/dental/vision insurance starting on day one, term life insurance, paid vacation/holidays, 401(k) savings plan with company match, and an associate discount on merchandise across all Catalyst Brands.
Opportunities for growth and development: training and development programs, and opportunities for advancement.
Collaborative and supportive culture: workplace where everyone feels valued and respected; teamwork encouraged.

Pay Range

USD $175,231.00 - USD $304,750.00 /Yr.

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