10 years of program management experience with at least 5 years leading complex technical programs in machine learning or data-driven environments.
Have led and scaled a team of product/program managers. Foster a culture of innovation accountability and continuous improvement. Provided mentorship and career development opportunities to team members ensuring they are motivated and equipped to meet their goals.
Strong understanding of the end-to-end machine learning lifecycle from data collection data/model lineage to model monitoring including MLOps tools and techniques.
Proven experience managing cross-functional teams and large-scale projects ideally in Data ML/AI or software engineering contexts.
Excellent communication and stakeholder management skills with the ability to translate technical concepts into business impacts.
Demonstrated problem-solving and risk management abilities with experience in agile methodologies.
Ability to drive initiatives in fast-paced environments balancing competing priorities and managing ambiguity.
Excellent interpersonal skills including ability to explain sophisticated technical topics to non-experts
Familiarity or experience with MLOps frameworks and tools (e.g. Kubernetes MLflow Weights and Biases vertex AI and so on).
Familiarity with cloud-based ML platforms (AWS GCP Azure) and model deployment strategies.
Background in Data AI/ML data science or software development is a plus.
Strong desire to learn aptitude for problem solving and the ability to make sophisticated trade-offs.
Proficiency in multitasking and leading sophisticated programs with a track record in launching outstanding platforms to market.
Experienced closely working with engineering leaders data science teams and other organizations to synchronize efforts and prioritize projects that improve product impact and value.
Self-motivated independent and proactive; demonstrated creative and critical thinking capabilities; can quickly (realtime) triage prioritize and lead cross-functional teams under pressure
Outstanding interpersonal skills including the ability to persuade and influence a diverse set of internal Apple and external public cloud partners
Responsible for the entire product development lifecycle from concept through launch and beyond.
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