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JPMorgan Product Director Workflow Automation & Intelligence United States, Texas, Plano 665521766
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Job responsibilities
- Define and execute the product vision, strategy, and roadmap for workflow automation and AI/ML intelligence across the hiring ecosystem, ensuring alignment with organizational goals and market trends.
- Lead and mentor a high-performing team of product managers, fostering a culture of innovation, collaboration, and continuous improvement, while providing strategic direction and career development support.
- Oversee the end-to-end product lifecycle, from discovery to delivery, ensuring the creation of scalable, integrated solutions that enhance recruiter workflows and streamline operations.
- Drive alignment across Engineering, Data Science, UX, Risk, Legal, and Talent Acquisition stakeholders to prioritize and deliver high-impact product releases.
- Champion AI and ML-powered solutions to optimize recruiter productivity, reduce manual work, and enhance candidate experience through intelligent recommendations and predictive insights.
- Establish and monitor key performance indicators (KPIs) to measure product success, inform strategic decision-making, and drive continuous improvement.
- Stakeholder Engagement: Serve as the primary product representative to executive stakeholders, clearly communicating progress, trade-offs, and wins, while advocating for ethical AI and inclusive hiring practices.
- Guide system design and ensure platform scalability, security, and API extensibility, enabling seamless integration with third-party tools.
- Industry Insight: Stay current with industry trends in AI, automation, recruiting tech, and enterprise HR platforms to inform strategy and drive innovation.
Required qualifications, capabilities, and skills
- 8+ years in product management, including 3+ years in a senior leadership role, with a focus on talent acquisition, HR technology, or related fields.
- Demonstrated success in leading and delivering complex enterprise or platform products, ideally within HR tech, recruiting systems, or workflow automation platforms.
- Strong ability to build, coach, and manage high-performing product teams in fast-paced, matrixed environments, fostering a culture of innovation and collaboration.
- Deep expertise in designing and launching intelligent automation solutions using AI/ML, RPA, or decisioning engines, with a strong understanding of enterprise software development lifecycles.
- Strong grasp of product development strategy, discovery frameworks, prioritization techniques, and outcome measurement, with the ability to drive execution across distributed teams.
- Exceptional communication and stakeholder management skills, with experience managing expectations across multiple levels, including VP and C-suite audiences.
- Skilled in agile development practices and tools such as Jira, Confluence, or equivalent, with the ability to drive alignment across product, engineering, and design.
- Understanding of data platforms, APIs, and integration approaches for scalable and interoperable systems, with demonstrated success in platform thinking and building reusable components.
- Deep analytical skills with a strong grasp of KPIs, instrumentation, experimentation, and insight generation, using a data-driven approach to decision-making.
Preferred qualifications, capabilities, and skills
- Experience with enterprise cloud platforms and technologies (AWS, Azure, etc.) with a solid technical foundation in APIs, data flows, and ML/AI concepts.
- Background in Talent Acquisition systems (e.g., ATS, CRM, scheduling, onboarding) or enterprise HR platforms; and exposure to global hiring workflows, localization, and compliance in highly regulated environments.
- Background in designing and optimizing end-to-end candidate and recruiter experiences.
- Excels in metrics and reporting to track progress, surface insights, and inform decisions.
- Demonstrated prior experience working in a highly matrixed, complex organization.
- Strong understanding and experience with building data infrastructures and data pipelines, especially to power the scalability of AI.
- SQL and/or Python skills preferred; Advanced Analytics skills preferred.
- Knowledge of enterprise data privacy, compliance, and regulatory considerations.
- MBA, MS in Computer Science, Data Science, or related fields.
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