700 Director Data Operations jobs in New York,NY

PhD, Pharm D, MS or equivalent degree preferably within the medical, biological, pharmaceutical science or related discipline
Minimum of 8 years of experience in clinical research with at least 4 or more years of drug development experience
Prior oncology/hematology drug development experience is a plus
Proven skills from working in a project oriented matrixed team environment
Excellent oral, written and interpersonal (communication) skills
Ability to travel, as needed

SmartExplore AI is experimental.

New, Posted 14 hours ago

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Principal Engineer - Python API Development

Fidelity Investments

Harrison, NJ 07029

~ 23 min OnsiteUrgently HiringEducation AssistanceHealth InsurancePaid Time OffRetirement Benefit

Bachelor's or Master's degree in Computer Science, Software Engineering, or a closely related engineering discipline
8+ years (typically 10+) building and operating production platforms and services at scale
Deep software engineering expertise in Python and distributed systems, with a track record of building production‑grade services, libraries, and internal platforms.
Linux fluency and scripting are required.
Cloud platform leadership (AWS) —hands‑on with S3, Lambda, Batch, Step Functions, EventBridge, CloudWatch, and SNS/SQS
Experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities
Infrastructure as Code (CloudFormation, Terraform/OpenTofu)
Platform reliability engineering (SLOs/error budgets, capacity planning, cost observability, incident response, and post‑mortems) for ML serving and data/feature pipelines
ML enablement in production: model packaging, deployment strategies (batch/online/streaming)
Inference routing
Traffic management
Performance tuning
Observability
Controls for responsible use—without a research or modeling focus
Cross‑org technical leadership: you mentor junior and senior engineers
Are a backbone of code review across repos
Routinely consider impacts on upstream/downstream systems when proposing changes
Set platform strategy and standards for ML packaging, deployment, serving, and observability
Driving consistent adoption across squads and business units
Partner with Data Scientists to package, scale, and operationalize models
Define the APIs, guardrails, and automation that take work from experimentation to reliable production
Enable secure, scalable access to traditional and generative models by collaborating with platform and application engineers to integrate through enterprise gateways and services
Advance model/data observability—tooling for data and feature drift detection
Prediction‑quality monitoring and uncertainty signals
Automated diagnostics/ explainability
Lead cross-platform incident response and post-mortems
Drive systemic fixes
Evolve standards to prevent recurrence—across applications and the platform
Uplevel engineering velocity by introducing reusable frameworks, paved paths, and CI/CD templates
That simplify integration, reduce toil, and improve reliability at scale
Reduce cost and complexity across the ML ecosystem through pragmatic technology choices, clear abstractions, and a long‑term platform roadmap

SmartExplore AI is experimental.

New, Posted 15 hours ago

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Sales Operations Director

Interstate Waste Services

Teaneck, NJ 07666

$150,000/yr

~ 20 min Onsite

Bachelor's degree required
Minimum 8–10+ years of experience in Sales Operations, Business Operations, or Revenue Operations.
Minimum 3–5+ years of leadership experience managing high-performing teams.
Demonstrated experience supporting senior sales leadership and executive stakeholders.
Strong strategic, analytical, and financial acumen.
Deep experience with sales forecasting, pipeline management, and revenue planning.
Expertise in CRM systems (Salesforce preferred) and sales technology platforms.
Proven ability to drive process transformation and operational improvements.
Excellent executive communication, presentation, and stakeholder management skills.
Ability to influence decision-making at senior leadership levels.

SmartExplore AI is experimental.

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