Hybrid)

NTT DATA Services•Pine Grove Township, PA

5d•$83,520 - $125,280•Hybrid

About The Position

NTT DATA is seeking a Technical Project Manager (AI/ML, FTE / Hybrid) to join their team. This role involves leading complex technology projects, particularly those involving AI/ML model development, training, evaluation, and deployment pipelines, with considerations for hardware, software, and regulatory constraints. The Technical Program Manager (TPM) will own these programs, providing updates to leadership, and delving into technical details to resolve issues, especially concerning ML model performance, data needs, and training infrastructure. They will drive pragmatic decisions and tradeoffs to meet critical timelines, considering ML-specific factors like iteration speed, data annotation, and compute resources. The role also includes working with engineering and leadership on the functional design, process design, prototyping, testing, and training of AI/ML solutions, advising leaders on AI/ML strategy and policy, and managing ambiguity by presenting clear options and points of view on ML model readiness, evaluation, and performance tradeoffs. The TPM will act as an insider/outsider, influencing teams working on ML algorithms, data platforms, and simulation environments through soft power and mentorship. They will also mentor other TPMs, sharing expertise in managing ML-centric technical programs.

Requirements

7+ years of experience applying AI to practical uses
5-7 years of Experience in Technical Program Management on deep-tech products or equivalent, specifically managing programs involving AI/ML components and data pipelines.
5+ years Hands on experience with ML-based products including evaluation with metrics driven analysis.
Bachelor’s degree in computer science, Data Science, Engineering, or equivalent experience, with a strong foundation in areas relevant to AI/ML.

Nice To Haves

Certification/ course on Data Architect/Data Science from any reputed institute/ portal

Responsibilities

Lead programs consisting of complex technology projects, particularly ones that intersect with hardware, software, and regulatory constraints, with a strong emphasis on AI/ML model development, training, evaluation, and deployment pipelines.
Exercise strong ownership over programs they lead, including briefing Autonomy leadership on execution and diving into technical details where necessary to unblock the team, especially regarding ML model performance, data requirements, and training infrastructure.
Drive pragmatic decisions and tradeoffs to maximize probability of hitting critical timelines, considering factors unique to ML projects such as model iteration speed, data annotation pipelines, and compute resource allocation.
Work with the engineering and leadership teams on the functional design, process design, prototyping, testing, and training of AI/ML solutions.
Advise leaders on technology, strategy, and policy issues related to AI/ML.
Manage ambiguity by presenting options with a clear point of view for leadership, particularly concerning ML model readiness, evaluation metrics, and performance trade-offs.
Understand the role of TPM as an insider/outsider, someone who drives accountability through influence and soft power rather than hard power and authority, effectively influencing teams working on ML algorithms, data platforms, and simulation environments.
Mentor other TPMs on the team and help them grow their craft as TPMs, sharing expertise in managing ML-centric technical programs.