Senior Product Manager

  • New York, NY
  • Posted 3 days ago | Updated 1 day ago

Overview

On Site
Depends on Experience
Accepts corp to corp applications
Contract - Independent
Contract - W2
Contract - 12 Month(s)
No Travel Required

Skills

JOB DUTIES/RESPONSIBILITIES: Client Engagement: Solicit short and long term requirements from Technology partners and Business Unit teams. Prioritize Client deliverables and manage Product Backlog. Coordinate user surveys
measure client satisfaction
Drive iterative product improvements. Build and Communicate Multi-Year Network strategy to Clients and Stakeholders. Socialize teams success and achievements to Clients and Stakeholders. Build Client Communication strategy and execution. Industry Engagement: Research and identify transformative vendor products that will help solve Technology and Business needs. Develop short list of products for Proof of Concept. Partner with Tech Business Development team to identify key vendors and products. Product Development: Participate in building Network Product and Catalog hardware and software that can be consumed by users. Partner with Architecture
Engineering
Operations
tooling
AI and automation teams to proactively create consumable products and services Manage Product version controls
global variances
product life cycle management Create
Manage and Communicate Product Roadmaps. Develop and Track Network Modernity posture. Understand Product finances
TCO
Net Book Value and recommend improvements. Product Adoption and Measurement: Introduce New Products and Capabilities to clients. Drive Adoption
Develop Training guide. Define and track key performance indicators (KPIs) for product success
analyze product usage data
and iterate on features to optimize performance and user satisfaction Artificial Intelligence and Machine Learning: Develop AIML use cases for Network Ecosystem and mange prioritization for Network Infrastructure. Identify vendor products with AI capabilities that will drive efficiencies for Network Infrastructure. Partner with AI and Data Science teams in the Firm to ensure that AI solutions are effectively adopted. Risk Management: Manage Product Risk in partnership with Risk Management team. Partner with ENS Risk team to identify Services level risks
coordinate remediation. Qualifications: Experience o 10+ years of product management experience
with at least 5 years in networking or infrastructure domains. o Proven experience in managing products that include both hardware and software components. o Experience with network design
process and protocols (e.g.
TCP/IP
BGP
OSPF) and hardware platforms (e.g.
routers
switches
terminal servers). o Experience with Network Monitoring Tools Ecosystem o Familiarity with AI/ML applications in networking
such as traffic prediction
anomaly detection
or self-healing networks. Skills o Strong technical acumen with the ability to engage in architectural and technical discussion o Technical Acumen: Maintain a deep understanding of networking technologies (e.g.
SDN
SD-WAN
Cloud Networking
5G
Wi-Fi
Security
Routing/Switching protocols) and their application in enterprise environments. o Deep understanding of tooling ecosystems (e.g.
CI/CD pipelines
monitoring
diagnostics). o Excellent written and verbal communication skills
with the ability to articulate complex concepts to diverse audiences. o Experience with agile methodologies and product development best practices. o Strong analytical and problem-solving skills
with the ability to synthesize complex information and make data-driven decisions. o Ability to thrive in a fast-paced
dynamic environment and manage multiple priorities simultaneously. Education o Bachelor's degree in Computer Science
Electrical Engineering
or related field. Preferred Qualifications: Experience working in Financial industry is a plus but not required. Experience with AI/ML platforms and data pipelines in a production environment Knowledge of Emerging technologies like Quantum Computing is a plus. Masters degree or MBA is a plus.
.NET
Business Development
Cloud Computing
Collaboration
Communication
Computer Hardware
Agile
Analytical Skill
Articulate
Artificial Intelligence
Border Gateway Protocol
OSPF
Machine Learning (ML)
Management
Network Design
Network Monitoring
Customer Satisfaction
Data Science
Emerging Technologies
Finance
KPI
Computer Networking
Conflict Resolution
Continuous Delivery
Continuous Integration
Research
Risk Management
Roadmaps
Routing
SD
Servers
Network
Partnership
Problem Solving
Product Development
Product Management
Training
Use Cases
WAN
Wireless Communication
AI
Senior Product Manager
Product Manager
Product owner

Job Details

JOB DUTIES/RESPONSIBILITIES:

Client Engagement:
Solicit short and long term requirements from Technology partners and Business Unit teams.
Prioritize Client deliverables and manage Product Backlog.
Coordinate user surveys, measure client satisfaction, Drive iterative product improvements.
Build and Communicate Multi-Year Network strategy to Clients and Stakeholders.
Socialize team s success and achievements to Clients and Stakeholders.
Build Client Communication strategy and execution.

Industry Engagement:
Research and identify transformative vendor products that will help solve Technology and Business needs.
Develop short list of products for Proof of Concept.
Partner with Tech Business Development team to identify key vendors and products.

Product Development:
Participate in building Network Product and Catalog hardware and software that can be consumed by users.
Partner with Architecture, Engineering, Operations, tooling, AI and automation teams to proactively create consumable products and services
Manage Product version controls, global variances, product life cycle management
Create, Manage and Communicate Product Roadmaps.
Develop and Track Network Modernity posture.
Understand Product finances, TCO, Net Book Value and recommend improvements.

Product Adoption and Measurement:
Introduce New Products and Capabilities to clients.
Drive Adoption, Develop Training guide.
Define and track key performance indicators (KPIs) for product success, analyze product usage data, and iterate on features to optimize performance and user satisfaction
Artificial Intelligence and Machine Learning:
Develop AIML use cases for Network Ecosystem and mange prioritization for Network Infrastructure.
Identify vendor products with AI capabilities that will drive efficiencies for Network Infrastructure.
Partner with AI and Data Science teams in the Firm to ensure that AI solutions are effectively adopted.

Risk Management:
Manage Product Risk in partnership with Risk Management team.
Partner with ENS Risk team to identify Services level risks, coordinate remediation.

Qualifications:
Experience
o 10+ years of product management experience, with at least 5 years in networking or infrastructure domains.
o Proven experience in managing products that include both hardware and software components.
o Experience with network design, process and protocols (e.g., TCP/IP, BGP, OSPF) and hardware platforms (e.g., routers, switches, terminal servers).
o Experience with Network Monitoring Tools Ecosystem
o Familiarity with AI/ML applications in networking, such as traffic prediction, anomaly detection, or self-healing networks.
Skills
o Strong technical acumen with the ability to engage in architectural and technical discussion
o Technical Acumen: Maintain a deep understanding of networking technologies (e.g., SDN, SD-WAN, Cloud Networking, 5G, Wi-Fi, Security, Routing/Switching protocols) and their application in enterprise environments.
o Deep understanding of tooling ecosystems (e.g., CI/CD pipelines, monitoring, diagnostics).
o Excellent written and verbal communication skills, with the ability to articulate complex concepts to diverse audiences.
o Experience with agile methodologies and product development best practices.
o Strong analytical and problem-solving skills, with the ability to synthesize complex information and make data-driven decisions.
o Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities simultaneously.
Education
o Bachelor's degree in Computer Science, Electrical Engineering, or related field.
Preferred Qualifications:
Experience working in Financial industry is a plus but not required.
Experience with AI/ML platforms and data pipelines in a production environment
Knowledge of Emerging technologies like Quantum Computing is a plus.
Master s degree or MBA is a plus.

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