Own end-to-end program governance across enterprise-scale technology initiatives - scope, schedule, risk, dependencies, and stakeholder alignment.
Define and maintain robust program plans, milestones, and KPIs; drive accountability across technical and business workstreams without direct authority.
Establish and continuously improve PMO frameworks, templates, and delivery standards aligned to technical delivery realities.
Lead program status reviews, steering committee meetings, and executive reporting; translate complex technical delivery realities into clear, constructive narratives for senior stakeholders.
Proactively identify risks, interdependencies, and capacity constraints across technical teams; own mitigation plans through to resolution.
Manage integrated release planning, aligning technical dependencies and milestones across engineering teams, platform squads, and external partners.
Bridge gaps between business, technology, architecture, and operations teams - ensuring strategic alignment without creating delivery bottlenecks.
Drive the integration of AI-enabled delivery management capabilities, reporting tools, and workflow automation practices to improve operational efficiency and delivery outcomes across platforms.
Establish oversight practices for AI-assisted delivery reporting, dependency management, and resource planning to ensure transparency, quality, and effective decision-making.
Enterprise Customer Data Ecosystem
Develop a strong working understanding of the enterprise Customer data ecosystem - how data is structured, governed, and flows across the technical platforms underpinning these initiatives.
Ensure program and technical decisions account for data dependencies, data quality implications, and downstream impacts on the customer data landscape.
Partner with data engineering, architecture, and platform teams to surface data-related risks and technical dependencies early in the program lifecycle.
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Drive data governance practices within the PMO - ensuring reporting, dashboards, and program metrics are grounded in reliable, timely information.
Engage with Enterprise Architects and platform teams to facilitate alignment of technical solutions with the broader data ecosystem strategy.
Stakeholder & Executive Communication
Navigate complex stakeholder landscapes with confidence and diplomacy - able to put across difficult program realities (technical risks, delays, hard truths) in a way that is clear, constructive, and builds rather than breaks trust.
Influence decisions and drive alignment across senior leadership, business owners, and technical leads without positional authority.
Prepare and present executive-level program updates, translating technical complexity into the right level of detail, framing, and tone for each audience.
Facilitate governance forums, steering committees, and technical alignment sessions with structured agendas and clear outcomes.
Leadership & Problem Solving
Function as the PMO's internal go-to person - the one others come to when they hit a wall or need a structured path forward, whether the challenge is technical, organizational, or both.
Anticipate technical and organizational delivery challenges; develop and propose solutions independently rather than escalating problems without a perspective.
Champion a culture of continuous improvement across delivery practices, tooling, and PMO ways of working.
Collaborate with senior leadership on talent strategy, ensuring the PMO team is high-functioning and continuously growing.
Program Governance & Technical Delivery Oversight - Own end-to-end program governance across enterprise-scale technology initiatives - scope, schedule, risk, dependencies, and stakeholder alignment. - Define and maintain robust program plans, milestones, and KPIs; drive accountability across technical and business workstreams without direct authority. - Establish and continuously improve PMO frameworks, templates, and delivery standards aligned to technical delivery realities. - Lead program status reviews, steering committee meetings, and executive reporting; translate complex technical delivery realities into clear, constructive narratives for senior stakeholders. - Proactively identify risks, interdependencies, and capacity constraints across technical teams; own mitigation plans through to resolution. - Manage integrated release planning, aligning technical dependencies and milestones across engineering teams, platform squads, and external partners. - Bridge gaps between business, technology, architecture, and operations teams - ensuring strategic alignment without creating delivery bottlenecks. - Drive the integration of AI-enabled delivery management capabilities, reporting tools, and workflow automation practices to improve operational efficiency and delivery outcomes across platforms. - Establish oversight practices for AI-assisted delivery reporting, dependency management, and resource planning to ensure transparency, quality, and effective decision-making. Enterprise Customer Data Ecosystem - Develop a strong working understanding of the enterprise Customer data ecosystem - how data is structured, governed, and flows across the technical platforms underpinning these initiatives. - Ensure program and technical decisions account for data dependencies, data quality implications, and downstream impacts on the customer data landscape. - Partner with data engineering, architecture, and platform teams to surface data-related risks and technical dependencies early in the program lifecycle. - Drive data governance practices within the PMO - ensuring reporting, dashboards, and program metrics are grounded in reliable, timely information. - Engage with Enterprise Architects and platform teams to facilitate alignment of technical solutions with the broader data ecosystem strategy. Stakeholder & Executive Communication - Navigate complex stakeholder landscapes with confidence and diplomacy - able to put across difficult program realities (technical risks, delays, hard truths) in a way that is clear, constructive, and builds rather than breaks trust. - Influence decisions and drive alignment across senior leadership, business owners, and technical leads without positional authority. - Prepare and present executive-level program updates, translating technical complexity into the right level of detail, framing, and tone for each audience. - Facilitate governance forums, steering committees, and technical alignment sessions with structured agendas and clear outcomes. Leadership & Problem Solving - Function as the PMO's internal go-to person - the one others come to when they hit a wall or need a structured path forward, whether the challenge is technical, organizational, or both. - Anticipate technical and organizational delivery challenges; develop and propose solutions independently rather than e
Must-Have
8-12+ years of progressive experience in Technical Program Management, PMO leadership, or a senior technology delivery governance role.
Demonstrated track record of owning and delivering large, cross-functional enterprise technology programs - not just tracking them.
Strong understanding of enterprise data ecosystems - particularly customer data platforms, data governance, and how data flows across complex technical initiatives.
Sufficient technical fluency to engage meaningfully with engineering, architecture, and platform teams - able to ask the right questions, understand constraints, and assess technical risk.
Experience operating within or leading a formal PMO function at an enterprise or Fortune 500 level, ideally within a technology-led transformation context.
Exceptional stakeholder and executive communication skills - able to translate technical complexity into clear business narratives and deliver difficult messages with clarity and tact.
Proficiency with program/project management tools (e.g., Jira, MS Project, Smartsheet, Monday.com) and reporting platforms (e.g., Power BI, Tableau).
Awareness of AI-enabled delivery management - how AI tools, agentic workflows, and automation are reshaping program reporting, dependency management, and delivery analytics.
Curiosity and openness to evaluating AI-driven improvements to PMO processes, operating models, and team productivity in partnership with platform and engineering teams.
Good to Have
Working knowledge of Agile-at-scale frameworks - SAFe, PI Planning, Scrum-of-Scrums, Agile Release Trains (ARTs); ability to engage credibly with delivery and product teams operating in these models.
Familiarity with integrated release planning across multi-team, multi-vendor, multi-platform environments.
Hands-on exposure to technical delivery concepts - system requirements, functional specifications, SDLC standards, API/platform integrations - enough to hold substantive conversations with engineering and architecture teams.
Experience working alongside Release Train Engineers (RTEs), product owners, Enterprise Architects, and agile coaches in a scaled technology delivery environment.
Background in data platform programs, or customer data transformations.
Certifications
PMP, PgMP, SAFe (SA or SPC), or equivalent - preferred but not mandatory.
Must-Have - 8-12+ years of progressive experience in Technical Program Management, PMO leadership, or a senior technology delivery governance role. - Demonstrated track record of owning and delivering large, cross-functional enterprise technology programs - not just tracking them. - Strong understanding of enterprise data ecosystems - particularly customer data platforms, data governance, and how data flows across complex technical initiatives. - Sufficient technical fluency to engage meaningfully with engineering, architecture, and platform teams - able to ask the right questions, understand constraints, and assess technical risk. - Experience operating within or leading a formal PMO function at an enterprise or Fortune 500 level, ideally within a technology-led transformation context. - Exceptional stakeholder and executive communication skills - able to translate technical complexity into clear business narratives and deliver difficult messages with clarity and tact. - Proficiency with program/project management tools (e.g., Jira, MS Project, Smartsheet, Monday.com) and reporting platforms (e.g., Power BI, Tableau). - Awareness of AI-enabled delivery management - how AI tools, agentic workflows, and automation are reshaping program reporting, dependency management, and delivery analytics. - Curiosity and openness to evaluating AI-driven improvements to PMO processes, operating models, and team productivity in partnership with platform and engineering teams. Good to Have - Working knowledge of Agile-at-scale frameworks - SAFe, PI Planning, Scrum-of-Scrums, Agile Release Trains (ARTs); ability to engage credibly with delivery and product teams operating in these models. - Familiarity with integrated release planning across multi-team, multi-vendor, multi-platform environments. - Hands-on exposure to technical delivery concepts - system requirements, functional specifications, SDLC standards, API/platform integrations - enough to hold substantive conversations with engineering and architecture teams. - Experience working alongside Release Train Engineers (RTEs), product owners, Enterprise Architects, and agile coaches in a scaled technology delivery environment. - Background in data platform programs, or customer data transformations. Certifications - PMP, PgMP, SAFe (SA or SPC), or equivalent - preferred but not mandatory.
About EXL
Professional Services10,001+Founded 1999
EXL is a global data and AI company that provides analytics, digital operations, and industry-specific services to enterprises in insurance, healthcare, banking, retail, media, and energy.
