Technology Management | Level 5 (USD)

Hybrid 3 Days a Week Onsite

Potential to Convert

Position Overview:

We are seeking an experienced and strategic Senior Product Manager - Network to lead the definition, development, and delivery of our next-generation network products and platforms. This role will encompass supporting Product Management duties for Network hardware, software, tooling, and AI-driven capabilities including new product ideation, product introduction & adoption to drive performance, efficiency, and innovation across our network ecosystem. You will work closely with cross-functional teams and leaders including members of Engineering, Operations, Tooling and Business Units stakeholders to shape and execute the product vision.

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 manage 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:
• 10+ years of product management experience, with at least 5 years in networking or infrastructure domains.
• Proven experience in managing products that include both hardware and software components.
• Experience with network design, process and protocols (e.g., TCP/IP, BGP, OSPF) and hardware platforms (e.g., routers, switches, terminal servers).
• Experience with Network Monitoring Tools Ecosystem.
• Familiarity with AI/ML applications in networking, such as traffic prediction, anomaly detection, or self-healing networks.
• Skills:
• Strong technical acumen with the ability to engage in architectural and technical discussion.
• 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.
• Deep understanding of tooling ecosystems (e.g., CI/CD pipelines, monitoring, diagnostics).
• Excellent written and verbal communication skills, with the ability to articulate complex concepts to diverse audiences.
• Experience with agile methodologies and product development best practices.
• Strong analytical and problem-solving skills, with the ability to synthesize complex information and make data-driven decisions.
• Ability to thrive in a fast-paced, dynamic environment and manage multiple priorities simultaneously.
• Education:
• 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.