Data Program Manager

Company Description

Join a multibillion-dollar global company that brings together amazing technology, people, and operational scale to become a powerhouse in the memory industry. Headquartered in Rancho Cordova, California, Solidigm combines elements of an established, successful technology company with the spirit, agility, and entrepreneurial mindset of a start-up. In addition to the U.S. headquarters and other facilities in the U.S., the company has international presence in Asia, Europe, and the Americas. Solidigm will continue to lead the world in innovating new Memory technologies with aspirations to be the #1 NAND memory company in the world. At Solidigm, we view problems as opportunities to define innovative solutions that hold the power to change the world and unleash the potential technological needs that the future holds. At Solidigm, we are One Team that fosters a diverse, equitable, and inclusive culture that embraces individual uniqueness and empowers us to bring our best selves to deliver excellence in support of Solidigm's vision and mission to be the go-to partner for optimized data storage solutions. You can be part of the takeoff of an innovative business that develops cutting-edge products, delivers strong business value for customers, provides an engaging workplace for its employees, and serves a greater impact on the world. This is a golden opportunity for the right applicant to join us and help design, build, and lead Solidigm. We want a diverse team of dedicated professionals who will not just be Solidigm team members but contribute to how we shape the future of the organization. We are seeking applicants who will grow and thrive in our culture; be customer inspired, trusting, innovative, team-oriented, inclusive, results driven, collaborative, passionate, and flexible.

Job Description

We are seeking an experienced and proactive Program Manager with a background in machine learning, artificial intelligence, data engineering, and application development. The ideal candidate will manage complex, cross-functional projects, ensuring timely delivery and high-quality outcomes while fostering excellent business partner relationships. This role requires a blend of technical acumen, strategic planning, and effective stakeholder communication to drive initiatives that align with business goals.

Responsibilities:

Program/Project Management: 

• Oversee end-to-end project management for machine learning, AI, data engineering, and application development initiatives, including planning, execution, and delivery.
• Develop detailed project plans, timelines, and milestones, managing dependencies and resource allocation to ensure on-time delivery.
• Lead and coordinate cross-functional teams, promoting collaboration across data scientists, engineers, developers, and business partners.

Stakeholder Engagement, Prioritization, and Communication:

• Serve as the primary point of contact for business stakeholders, maintaining open and effective communication to manage expectations and provide program updates.
• Translate technical concepts into business language for non-technical stakeholders and facilitate cross-functional alignment.
• Gather requirements from stakeholders, ensuring project deliverables align with strategic business needs.

Technical Oversight and Guidance:

• Leverage your technical background in machine learning, AI, data engineering, and application development to guide project planning and execution.
• Collaborate with technical teams to understand and address project challenges, making adjustments to project plans as needed.
• Ensure quality and feasibility by reviewing technical designs, assessing risks, and implementing best practices.

Risk Management:

• Identify, assess, and mitigate potential risks associated with project timelines, deliverables, and resource constraints.
• Implement contingency plans and escalate issues when necessary, ensuring project continuity and success.

Performance Tracking and Reporting:

• Define key performance indicators (KPIs) and success metrics for each project, regularly tracking progress and addressing deviations.
• Prepare and deliver comprehensive reports to stakeholders, showcasing project status, milestones, and ROI.

Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or a related field.
• 5+ years of experience in program/project management, particularly in machine learning, AI, data engineering, and application development projects.
• Demonstrated experience in successfully managing large-scale, cross-functional technical projects.

Technical and Soft Skill Qualifications:

• Strong understanding of machine learning, AI concepts, data engineering processes, and application development lifecycles.
• Experience with tools and methodologies in project management (e.g., Agile, Scrum, JIRA) and data/AI ecosystems (e.g., Python, SQL, cloud services).
• Familiarity with software development and deployment processes, data pipelines, and model integration workflows.
• Exceptional communication, interpersonal, and stakeholder engagement skills.
• Proven ability to build and maintain relationships with business stakeholders, ensuring alignment on project goals and deliverables.
• Strong problem-solving skills, adaptability, and attention to detail in fast-paced environments.

Preferred Qualifications:

• Certification in project management (e.g., PMP, Agile Scrum Master).
• Experience working in an Agile development environment.
• Knowledge of cloud-based platforms for data and AI (e.g., AWS, Azure, GCP). 

This is an opportunity to lead impactful projects at the forefront of AI and data innovation. We seek a candidate with the technical foundation, strategic mindset, and communication skills to drive our projects to success while delivering value for our business partners.

Additional Information

For California, Colorado, New York, Washington, and remote roles: The compensation range for this role is $118,860 - $196,720. Actual compensation is influenced by a variety of factors including but not limited to skills, experience, qualifications, and geographic location.