Programme Manager Client Data Strategy

New York,NY

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1494 Programme Manager Client Data Strategy jobs in New York,NY

New, Posted 1 day ago

Partner Head of AI & Strategy (Boutique Consultancy)

Confidential

New York, NY 10001

OnsiteUrgently Hiring

Over eight years of experience in strategy consulting, particularly within data and AI transformation
Proven history of generating new business with executive-level clients
Experience launching and scaling a US AI & Data practice
Ability to drive revenue through transformational AI/data programs
Capacity to cultivate C-level relationships, including CEOs, CIOs, CDOs, and COOs
Based in the US
Preferably within the East Coast or Central time zones
Ability to sell to senior executives
Entrepreneurial mindset with comfort operating without heavy corporate structure
Equity opportunity (as part of compensation/ownership)

SmartExplore AI is experimental.

New, Posted 1 day ago

Content Manager - Secondary Content Strategy

Disability Solutions

New York, NY 10261

New, Posted 2 hours ago

Head of Programme Management

Cooperman Barnabas Medical Center

Livingston, NJ 07039

Senior Consultant, Healthcare Strategy & Transformation

Guidehouse Careers

New York, NY 10025

Client Executive - NYC Dept. of Education

NTT DATA Services, LLC

New York, NY 10261

New, Posted 15 hours ago

Principal Engineer - Python API Development

Fidelity Investments

Weehawken, NJ 07086

~ 12 min OnsiteEducation 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
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—and experience shaping platform patterns that other teams adopt
Experience enabling managed ML services (e.g., SageMaker) as part of broader platform capabilities; exposure to Azure or GCP is beneficial
DevOps and CI/CD at scale, owning standards for automated build/test/deploy (e.g., Jenkins, Git‑based workflows), containerization (Docker), release governance, and multi‑environment promotion for ML‑enabled workloads
Infrastructure as Code (CloudFormation, Terraform/OpenTofu) and 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, and 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, and 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, and automated diagnostics/ explainability
Lead cross‑platform incident response and post‑mortems, drive systemic fixes, and 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
The base salary range for this position is $107,000-216,000 USD per year.
Base salary is only part of the total compensation package. Depending on the position and eligibility requirements, the offer package may also include bonus or other variable compensation.

SmartExplore AI is experimental.

New, Posted 13 hours ago

Enterprise Sales Representative

Spectrum

New York, NY 10010

OnsiteUrgently Hiring

This role requires the ability to work lawfully in the U.S. without employment-based immigration sponsorship, now or in the future.
High school diploma or equivalent from an accredited organization (GED)
Experience selling to corporate executives and outside sales to enterprise, healthcare, government or education clients
Read, write, speak and understand English
Quick to conduct cost analyses and provide product recommendations
Proficiency in Microsoft Excel, Word, PowerPoint and Visio
Experience with ICOMS/CSG or other billing systems
Knowledge of complex services, telecommunications infrastructure and equipment (Routers, Switches, Frame Relay, ATM, SONET, Ethernet)
Understanding of TCP/IP networking, network security, firewalls and telephony products (T1, PRI, SIP)
Familiarity with business software, hardware applications, Intranets and Salesforce
Experience negotiating Master Service Agreements and selling financial/business benefits, closing sales and presenting technical solutions
Valid and active State driver's license with a safe driving record

SmartExplore AI is experimental.

New, Posted 1 day ago

Senior Manager, People Analytics

Chobani

New York, NY 10012

New, Posted 1 day ago

Culinary Agents

Event Manager

Olly Olly Market

New York, NY 10025

Sales Executive IV

NTT DATA Americas

New York, NY 10261

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