ALLTECH CONSULTING SVC INC
Job Description:
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 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. #J-18808-Ljbffr
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. #J-18808-Ljbffr