Director, AI-Native Delivery Management
EPAM Systems · United States · 1 mo ago
RemoteRemoteEngineeringFull-time
We need to output HTML fragment with sections for headings: About the role, Responsibilities, Requirements, Qualifications? The posting includes "Responsibilities" and "Requirements". Also there is a benefits list: "We offer Medical, Dental and Vision Insurance (Subsidized) ..." etc. Also maybe "Pay" not present. "Schedule" not present. So we include sections: About the role (intro paragraph), Responsibilities (ul), Requirements (ul), Benefits (ul). Also maybe "Qualifications" not separate; requirements cover. Also maybe "Skills" not separate. We'll include only sections with content.
We must not repeat job title. No Job ID heading. We can include minor metadata like Req# in a short p.
We must remove boilerplate: navigation, legal, EEO, scam warning, duplicated lines, application instructions. Also remove "This Remote Position Cannot be Performed in New York City." maybe keep? It's location restriction; maybe keep as part of About the role? It's not boilerplate; it's a location restriction. Could include in About the role paragraph.
Also remove "Applications will be accepted on a rolling basis." etc. Also remove legal notices about LA County Fair Chance Ordinance, H-1B, Massachusetts lie detector test. Those are legal boilerplate; remove.
Also remove "EPAM is a leading global provider..." etc. That's generic boilerplate about company; maybe remove as it's not specific to role? It's about EPAM culture; could be considered boilerplate but maybe keep as part of About the role? The instruction: Remove cookie/navigation/legal/EEO/equal-opportunity/scam-warning boilerplate, duplicated lines, and application instructions. The EPAM description is not exactly legal but could be considered generic marketing; but it's not explicitly prohibited. However we should preserve substantive information; that description is not specific to role but could be considered filler. I'd lean to remove it as it's generic company description. Keep only role-specific content.
Thus we need to extract:
Intro: "The Director, AI-Native Delivery Management spans individual engagement ownership and practice-level contribution. The Director personally owns delivery and commercial outcomes for a portfolio of fixed-fee and managed-output AI-native engagements AI including, where warranted, operating directly on the most complex ones AI while also mentoring Senior AI-Native Delivery Managers on the engagements they run and contributing to the practice's shared playbook, hiring criteria, and training material."
We can keep that as About the role paragraph.
Then Responsibilities list: bullet points from "Responsibilities" section.
Let's extract each bullet:
- Own the definition and delivery of the solution, plus the commercial outcome, for a portfolio of 2-4+ concurrent fixed-fee and/or managed-output AI-native engagements
- Operate directly as the AI-Native DM on the portfolio's most complex or highest-risk engagements, while overseeing Senior AI-Native DMs running the others
- Define deliverables and acceptance criteria, or the output SLA and its measurement cadence, for each engagement in the portfolio before a team is assembled
- Mentor and coach Senior AI-Native Delivery Managers on the engagements they run AI particularly on managed-output discipline, where the job is holding an SLA over time rather than delivering a fixed scope once
- Contribute engagement learnings AI scope/output and SLA definition patterns, FDE staffing patterns, escalation triggers AI into the practice's shared delivery playbook
- Provide input into AI-Native DM and FDE hiring criteria and interview loops, drawing on what's actually working across the portfolio
- Escalate and resolve delivery risk within the portfolio, backstopping Senior DMs without displacing them from their engagements
- Manage the commercial health of the portfolio: margin attainment against sold targets, SLA renegotiation cadence on managed-output engagements, and change-order discipline on fixed-fee engagements
- Own C-level client stakeholder relationships across the portfolio AI client sponsors, EPAM BU and account leadership AI as the accountable escalation point above the Senior DMs
Note there are some stray "AI" tokens; they appear as artifacts; we should keep the text as is but maybe remove stray "AI"? The instruction: Preserve ALL substantive information; do NOT invent or summarize away detail. The stray "AI" seems like formatting artifact; it's part of the original text but likely not meaningful. Should we keep it? It's part of the posting; but it's likely a mistake. However we must preserve substantive information; removing "AI" could be altering. But it's not substantive; it's likely a token inserted erroneously. I'd keep the text as given, but we could clean up extra spaces. I'd keep the exact phrases but maybe remove the stray "AI" as it's not meaningful. However risk of violating "do not invent or summarize away detail". Removing "AI" is summarizing away detail (though it's likely noise). Safer to keep it.
Thus keep the bullets exactly as they appear, including "AI". But we need to ensure readability.
Now Requirements list:
Extract bullet points:
- 10+ years in delivery management, including direct, hands-on ownership of fixed-fee and/or output-based (SLA) engagements, not only T&M
- Demonstrated ability to run multiple concurrent engagements while still personally operating on at least one
- Working knowledge of agentic/AI-assisted delivery tooling and experience implementing an agentic SDLC / AI software factory delivery model
- Real hands-on technical depth, same bar as the Senior AI-Native DM role AI able to contribute directly to deliverables on the engagement being personally operated, not just review them; pod size leaves no room for a pure-overhead PM at any level of this practice
- Experience mentoring or coaching other delivery managers, ideally including contributing to onboarding material or delivery playbooks
- Strong stakeholder management and communication skills at the C-level across multiple concurrent engagements AI comfortable as the senior escalation point with client sponsors and internal leadership
- Commercial acumen: experience owning margin performance across more than one engagement at a time
- Ownership of the solution and the ability to shape it on the engagement(s) being personally operated AI same standard as the Senior AI-Native DM, at portfolio scale
Also "Nice to have" items: we could include as a subsection under Requirements or separate "Nice to have". The instruction: include a section ONLY when the posting has real, specific content for it. Nice to have is specific content; we could make a section "Nice to have" with ul.
Nice to have bullets:
- A frontier-lab certification (e.g. Anthropic, OpenAI, Google DeepMind)
- Experience running or scoping AI activation/enablement programs
- Most likely profile is a professional-services delivery background, but an engineering leader who has personally led an internal transformation to an agentic SDLC is also a strong fit
Now Benefits list: extract:
- Medical, Dental and Vision Insurance (Subsidized)
- Health Savings Account
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Short-Term and Long-Term Disability (Company Provided)
- Life and AD&D Insurance (Company Provided)
- Employee Assistance Program
- Unlimited access to LinkedIn learning solutions
- Matched 401(k) Retirement Savings Plan
- Paid Time Off
- Legal Plan and Identity Theft Protection
- Accident Insurance
- Employee Discounts
- Pet Insurance
- Employee Stock Purchase Program
Now About the role paragraph: we may also include location restriction: "This Remote Position Cannot be Performed in New York City." Keep as part of About the role.
Now we need to output HTML fragment: use for section headings. Use
for section headings. Use - for lists. Use
for prose.
We should not include or . Just output the fragment.
Structure:
The Director, AI-Native Delivery Management spans individual engagement ownership and practice-level contribution. The Director personally owns delivery and commercial outcomes for a portfolio of fixed-fee and managed-output AI-native engagements AI including, where warranted, operating directly on the most complex ones AI while also mentoring Senior AI-Native Delivery Managers on the engagements they run and contributing to the practice's shared playbook, hiring criteria, and training material. This Remote Position Cannot be Performed in New York City.
Responsibilities
- Own the definition and delivery of the solution, plus the commercial outcome, for a portfolio of 2-4+ concurrent fixed-fee and/or managed-output AI-native engagements
- Operate directly as the AI-Native DM on the portfolio's most complex or highest-risk engagements, while overseeing Senior AI-Native DMs running the others
- Define deliverables and acceptance criteria, or the output SLA and its measurement cadence, for each engagement in the portfolio before a team is assembled
- Mentor and coach Senior AI-Native Delivery Managers on the engagements they run AI particularly on managed-output discipline, where the job is holding an SLA over time rather than delivering a fixed scope once
- Contribute engagement learnings AI scope/output and SLA definition patterns, FDE staffing patterns, escalation triggers AI into the practice's shared delivery playbook
- Provide input into AI-Native DM and FDE hiring criteria and interview loops, drawing on what's actually working across the portfolio
- Escalate and resolve delivery risk within the portfolio, backstopping Senior DMs without displacing them from their engagements
- Manage the commercial health of the portfolio: margin attainment against sold targets, SLA renegotiation cadence on managed-output engagements, and change-order discipline on fixed-fee engagements
- Own C-level client stakeholder relationships across the portfolio AI client sponsors, EPAM BU and account leadership AI as the accountable escalation point above the Senior DMs
Requirements
- 10+ years in delivery management, including direct, hands-on ownership of fixed-fee and/or output-based (SLA) engagements, not only T&M
- Demonstrated ability to run multiple concurrent engagements while still personally operating on at least one
- Working knowledge of agentic/AI-assisted delivery tooling and experience implementing an agentic SDLC / AI software factory delivery model
- Real hands-on technical depth, same bar as the Senior AI-Native DM role AI able to contribute directly to deliverables on the engagement being personally operated, not just review them; pod size leaves no room for a pure-overhead PM at any level of this practice
- Experience mentoring or coaching other delivery managers, ideally including contributing to onboarding material or delivery playbooks
- Strong stakeholder management and communication skills at the C-level across multiple concurrent engagements AI comfortable as the senior escalation point with client sponsors and internal leadership
- Commercial acumen: experience owning margin performance across more than one engagement at a time
- Ownership of the solution and the ability to shape it on the engagement(s) being personally operated AI same standard as the Senior AI-Native DM, at portfolio scale
Nice to have
- A frontier-lab certification (e.g. Anthropic, OpenAI, Google DeepMind)
- Experience running or scoping AI activation/enablement programs
- Most likely profile is a professional-services delivery background, but an engineering leader who has personally led an internal transformation to an agentic SDLC is also a strong fit
Benefits
- Medical, Dental and Vision Insurance (Subsidized)
- Health Savings Account
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Short-Term and Long-Term Disability (Company Provided)
- Life and AD&D Insurance (Company Provided)
- Employee Assistance Program
- Unlimited access to LinkedIn learning solutions
- Matched 401(k) Retirement Savings Plan
for prose. We should not include or . Just output the fragment. Structure:
The Director, AI-Native Delivery Management spans individual engagement ownership and practice-level contribution. The Director personally owns delivery and commercial outcomes for a portfolio of fixed-fee and managed-output AI-native engagements AI including, where warranted, operating directly on the most complex ones AI while also mentoring Senior AI-Native Delivery Managers on the engagements they run and contributing to the practice's shared playbook, hiring criteria, and training material. This Remote Position Cannot be Performed in New York City.
Responsibilities
- Own the definition and delivery of the solution, plus the commercial outcome, for a portfolio of 2-4+ concurrent fixed-fee and/or managed-output AI-native engagements
- Operate directly as the AI-Native DM on the portfolio's most complex or highest-risk engagements, while overseeing Senior AI-Native DMs running the others
- Define deliverables and acceptance criteria, or the output SLA and its measurement cadence, for each engagement in the portfolio before a team is assembled
- Mentor and coach Senior AI-Native Delivery Managers on the engagements they run AI particularly on managed-output discipline, where the job is holding an SLA over time rather than delivering a fixed scope once
- Contribute engagement learnings AI scope/output and SLA definition patterns, FDE staffing patterns, escalation triggers AI into the practice's shared delivery playbook
- Provide input into AI-Native DM and FDE hiring criteria and interview loops, drawing on what's actually working across the portfolio
- Escalate and resolve delivery risk within the portfolio, backstopping Senior DMs without displacing them from their engagements
- Manage the commercial health of the portfolio: margin attainment against sold targets, SLA renegotiation cadence on managed-output engagements, and change-order discipline on fixed-fee engagements
- Own C-level client stakeholder relationships across the portfolio AI client sponsors, EPAM BU and account leadership AI as the accountable escalation point above the Senior DMs
Requirements
- 10+ years in delivery management, including direct, hands-on ownership of fixed-fee and/or output-based (SLA) engagements, not only T&M
- Demonstrated ability to run multiple concurrent engagements while still personally operating on at least one
- Working knowledge of agentic/AI-assisted delivery tooling and experience implementing an agentic SDLC / AI software factory delivery model
- Real hands-on technical depth, same bar as the Senior AI-Native DM role AI able to contribute directly to deliverables on the engagement being personally operated, not just review them; pod size leaves no room for a pure-overhead PM at any level of this practice
- Experience mentoring or coaching other delivery managers, ideally including contributing to onboarding material or delivery playbooks
- Strong stakeholder management and communication skills at the C-level across multiple concurrent engagements AI comfortable as the senior escalation point with client sponsors and internal leadership
- Commercial acumen: experience owning margin performance across more than one engagement at a time
- Ownership of the solution and the ability to shape it on the engagement(s) being personally operated AI same standard as the Senior AI-Native DM, at portfolio scale
Nice to have
- A frontier-lab certification (e.g. Anthropic, OpenAI, Google DeepMind)
- Experience running or scoping AI activation/enablement programs
- Most likely profile is a professional-services delivery background, but an engineering leader who has personally led an internal transformation to an agentic SDLC is also a strong fit
Benefits
- Medical, Dental and Vision Insurance (Subsidized)
- Health Savings Account
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Short-Term and Long-Term Disability (Company Provided)
- Life and AD&D Insurance (Company Provided)
- Employee Assistance Program
- Unlimited access to LinkedIn learning solutions
- Matched 401(k) Retirement Savings Plan