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We’re looking for a
Director - Technical Program Manager (TPM)
As a Director of Technical Program Management (TPM) in the MLX team, you will execute on high priority enterprise level initiatives, and influence across our organization. Specifically, you will be partnering closely with product, engineering, data scientists, and other cross functional teams to create roadmaps, scope programs aligning them with business priorities, define milestones and success metrics, and build scalable, secure, reliable, efficient ML products and platforms. This role will be responsible for big picture thinking, presenting to executive stakeholders, and holding engineering teams accountable for overarching delivery goals. In addition to the technical program, you will also work to pave the way for an expanding TPM discipline within the team, by leveraging your industry knowledge and experience to teach the organization what a great TPM can achieve.
Our TPM Directors have:
Strong technical backgrounds (ideally building highly scalable platforms, products, or services) with the ability to proactively identify and mitigate technical risks throughout delivery life-cycle
Exceptional communication and collaboration skills
Excellent problem solving and influencing skills
A quantitative approach to problem solving and a collaborative implementer to holistic solutions; a systems thinker
Experience as a TPM leader to grow and develop a team of TPMs, while also building the foundations for the TPM practice
Ability to simplify the technically complex and drive well-educated decisions across product, engineering, design, and data science representatives
Deep focus on execution, follow-through, accountability, and results
Exceptional cross-team collaboration; able to work across different functions, organizations, and reporting boundaries to get the job done.
Highly tuned emotional intelligence, good listener, and deep seated empathy for teams and partners
Ability to lead a program team focused on the building of enterprise Machine Learning capabilities
Previous experience with machine learning (building models, deploying models, setting up cloud infrastructure and/or data pipelines) and familiarity with major ML frameworks such as XGBoost, PyTorch, AWS SageMaker, etc.
Ability to manage program communications with key stakeholders at all levels across the company to enable transparency and timely information sharing
Ability to serve as the connective tissue across functions, business units, bringing teams together to foster collaboration, improve decision-making, and deliver value for customers, end to end
Basic Qualifications:
Bachelor's degree in a related technical field (Computer Science, Software Engineering)
At least 7 years of experience managing technical programs
Preferred Qualifications:
7+ years of experience in designing and building data-intensive solutions using distributed computing
3+ years of experience in building distributed systems & highly available services using cloud computing services / architecture - preferably using AWS
3+ years experience building highly scalable mobile products & platforms
3+ years of experience with Agile delivery
3+ years years experience delivering large and complex programs - where you own the business or technical vision, collaborate with large cross-functional teams, secure commitments on deliverables and unblock teams to land business impact
Experience in building systems & solutions within a highly regulated environment
MBA or Master’s Degree in a related technical field (Computer Science, Software Engineering) or equivalent experience
10+ years of technical program management experience
3+ years of Machine Learning experience
PMP, Lean, Agile, or Six Sigma certification
3+ years of people management experience
If you have visited our website in search of information on employment opportunities or to apply for a position, and you require an accommodation, please contact Capital One Recruiting at 1-800-304-9102 or via email at . All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodations.
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