BSS Solution Train Engineer

Overview

Prodapt is the largest specialized player in the Connectedness industry. As an AI-first strategic technology partner, Prodapt provides consulting, business reengineering, and managed services for the largest telecom and tech enterprises building networks and digital experiences of tomorrow. A ServiceNow-invested company, Prodapt has been recognized by Gartner as a Large, Telecom-Native, Regional IT Service Provider. Connecting 1.1 billion people and 5.4 billion devices across the globe, Prodapt’s clients include Google, Amazon, PayPal, SoftBank, ServiceNow, Ciena, Verizon, Vodafone, Liberty Global, Liberty Latin America, Claro, Lumen, Windstream, Rogers, Telus, KPN, Virgin Media, British Telecom, Deutsche Telekom, Adtran, Samsung, and many more. A “Great Place To Work® Certified™” company, Prodapt employs over 6,000 technology and domain experts across the Americas, Europe, India, Africa, & Japan. Prodapt is part of the 130-year-old business conglomerate The Jhaver Group, which employs over 32,000 people across 80+ locations globally.

The STE serves as the Epic-level delivery leader and integrator for BSSe, ensuring that scope, milestones, dependencies, risks, and commitments are visible, aligned, and actively managed from pre-planning through execution. The role requires strong Agile delivery experience, executive-ready communication, structured problem solving, and the ability to influence across teams without absorbing ownership that belongs to product, engineering, architecture, testing, or business partners. The STE is expected to lead by example in AI adoption, finding where agents and automation can reduce manual effort, speed up decisions, and improve delivery predictability.

Responsibilities

• Own the integrated execution view for assigned Epics, including scope, sequencing, delivery status, dependencies, risks, milestones, critical path, and impacts to commitments.
• Lead Epic-level pre-planning and PI Planning readiness activities, ensuring teams understand scope, outcomes, feature decomposition, dependency needs, and milestone expectations.
• Establish and lead cross-functional Epic forums that create visibility, decisions, action closure, and accountability across TPM, product, architecture, CQE, engineering, and delivery teams.
• Drive proactive dependency identification, validation, documentation, sequencing, ownership, follow-up, and escalation before dependencies create milestone risk.
• Maintain feature and Epic hygiene by ensuring delivery data is current, complete, and trusted for planning, execution, reporting, and leadership decision-making.
• Escalate likely misses, unresolved dependencies, delivery risks, and readiness gaps early with clear impact, accountable owners, mitigation options, decisions needed, and timing.
• Translate delivery details into milestone-level impact and decision-ready guidance for leaders, including implications to critical path, commitments, and release confidence.
• Partner with CQE and delivery teams to align Epic-level test strategy, environment readiness, defect resolution, and production validation plans.
• Use approved AI tools and agents to improve planning, reporting, follow-up, delivery analysis, risk detection, and responsiveness, while validating outputs, protecting data, and applying sound judgment.
• Lead and coordinate AI efforts for assigned Epics and the program, including finding use cases, defining success measures, building or partnering to build agents, tracking adoption, and scaling what works into repeatable delivery practices.
• Drive continuous improvement by strengthening operating cadences, delivery discipline, governance, data quality, accountability, and repeatable practices across the program.

Requirements

• Bachelor’s degree in Computer Science, Computer engineering, Electronics, Communication or related field.
• 10+ years of Agile delivery, program delivery, technology delivery, or related experience.
• 5+ years of experience working with Agile development, Agile delivery practices, Agile metrics, and/or scaled Agile environments.
• Experience facilitating Program Increment planning, Epic-level planning, dependency management, delivery governance, demos, retrospectives, and cross-functional working forums.
• Strong understanding of software delivery lifecycle concepts, including feature decomposition, dependency sequencing, development readiness, test readiness, defect management, release readiness, and production validation.
• Demonstrated ability to manage complex cross-team delivery with multiple stakeholders, competing priorities, changing scope, and uncertain conditions.
• Ability to translate complex technical and delivery information into clear, concise communications for peers, delivery teams, and senior leaders.
• Strong ownership mindset, attention to detail, organizational discipline, critical thinking, negotiation skills, and bias for outcomes.
• Experience using delivery tools and data to manage scope, status, dependencies, risks, milestones, action items, and reporting.
• Hands-on experience using approved AI and automation tools (e.g., Microsoft Copilot) to improve efficiency, planning quality, delivery insight, and follow-up, while applying human judgment, validation, and responsible AI practices.
• Excellent written and verbal communication skills with demonstrated ability to influence without authority and operate effectively across product, engineering, architecture, testing, and business teams.
• Own the integrated execution view for assigned Epics, including scope, sequencing, delivery status, dependencies, risks, milestones, critical path, and impacts to commitments.
• Lead Epic-level pre-planning and PI Planning readiness activities, ensuring teams understand scope, outcomes, feature decomposition, dependency needs, and milestone expectations.
• Establish and lead cross-functional Epic forums that create visibility, decisions, action closure, and accountability across TPM, product, architecture, CQE, engineering, and delivery teams.
• Drive proactive dependency identification, validation, documentation, sequencing, ownership, follow-up, and escalation before dependencies create milestone risk.
• Maintain feature and Epic hygiene by ensuring delivery data is current, complete, and trusted for planning, execution, reporting, and leadership decision-making.
• Escalate likely misses, unresolved dependencies, delivery risks, and readiness gaps early with clear impact, accountable owners, mitigation options, decisions needed, and timing.
• Translate delivery details into milestone-level impact and decision-ready guidance for leaders, including implications to critical path, commitments, and release confidence.
• Partner with CQE and delivery teams to align Epic-level test strategy, environment readiness, defect resolution, and production validation plans.
• Use approved AI tools and agents to improve planning, reporting, follow-up, delivery analysis, risk detection, and responsiveness, while validating outputs, protecting data, and applying sound judgment.
• Lead and coordinate AI efforts for assigned Epics and the program, including finding use cases, defining success measures, building or partnering to build agents, tracking adoption, and scaling what works into repeatable delivery practices.
• Drive continuous improvement by strengthening operating cadences, delivery discipline, governance, data quality, accountability, and repeatable practices across the program.
• Bachelor’s degree in Computer Science, Computer engineering, Electronics, Communication or related field.
• 10+ years of Agile delivery, program delivery, technology delivery, or related experience.
• 5+ years of experience working with Agile development, Agile delivery practices, Agile metrics, and/or scaled Agile environments.
• Experience facilitating Program Increment planning, Epic-level planning, dependency management, delivery governance, demos, retrospectives, and cross-functional working forums.
• Strong understanding of software delivery lifecycle concepts, including feature decomposition, dependency sequencing, development readiness, test readiness, defect management, release readiness, and production validation.
• Demonstrated ability to manage complex cross-team delivery with multiple stakeholders, competing priorities, changing scope, and uncertain conditions.
• Ability to translate complex technical and delivery information into clear, concise communications for peers, delivery teams, and senior leaders.
• Strong ownership mindset, attention to detail, organizational discipline, critical thinking, negotiation skills, and bias for outcomes.
• Experience using delivery tools and data to manage scope, status, dependencies, risks, milestones, action items, and reporting.
• Hands-on experience using approved AI and automation tools (e.g., Microsoft Copilot) to improve efficiency, planning quality, delivery insight, and follow-up, while applying human judgment, validation, and responsible AI practices.
• Excellent written and verbal communication skills with demonstrated ability to influence without authority and operate effectively across product, engineering, architecture, testing, and business teams.