{"id":1144754,"url":"https://alion.io/job/citi-head-of-product-engineering-hr-total-rewards-director","title":"Head of Product Engineering, HR Total Rewards - Director","company":{"id":7841,"name":"Citi","domain":"citi.com","url":"https://alion.io/company/citi","size_band":"5000+","is_staffing_agency":false,"is_intermediary":false,"ats_vendor":"Workday","truth_index":{"grade":"A","score":100,"open_postings":244,"ghost_share":0,"stale_share":0,"repost_share":0.074,"time_to_fill_p50_days":11,"computed_at":"2026-09-23T05:45:00Z"}},"role":"Product","role_family":"Product","seniority":"head","employment_type":"full_time","work_mode":"hybrid","remote_scope":null,"hiring_geo_confidence":"structured","locations":["London, United Kingdom"],"countries":["GB"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":99000,"max_usd":240000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":496},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"AI Agents","optional":false},{"name":"CI/CD","optional":false},{"name":"Claude Code","optional":false},{"name":"Copilot","optional":false},{"name":"Cursor","optional":false},{"name":"Devin","optional":false},{"name":"Docker","optional":false},{"name":"Kubernetes","optional":false},{"name":"Platform Engineering","optional":false}],"status":"live","first_seen_at":"2026-09-23T14:23:21Z","employer_posted_date":"2026-09-23","last_verified_at":"2026-09-24T01:00:03Z","board_verified":true,"closed_at":null,"days_open":0,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":0},"description":"The Role\nTheHead of Product Engineering, HR Total Rewards is a senior product and engineering leaderreporting directly to theHead of HR Technology,accountable fordefining the product vision andbuilding, scaling, and operating a high-performing organization of approximately 50 resources across multiple autonomous pods and enabling capability teams.This role spans custom-built product engineering, oversight of dozens of third-party SaaS applications, and the end-to-end transformation of how the workforce uses AI to improve productivity, quality, and decision-making. The leader must remaindeeply grounded in hands-on product and engineering judgment - including theexpectation to stay actively involved in coding, code review, prototyping,AI-assisted development, internal developer platforms,vendor platforms,and modern engineering practices - while expanding accountability toproduct vision,organizational design, talent enablement, stakeholder management, budget ownership,vendor governance,and delivery outcomes at scale.\nThis is not a traditional “manage from a distance” role. You are expected to stay close enough to the work towrite and review code when needed, build prototypes, validate AI-generated output,understand product tradeoffs,assesstechnical risk,influencearchitectural direction, andimprovedelivery flow - while leading through leaders, creating clarity across teams, and building the systems that allow autonomous pods to move faster, safer, and with greater accountability.\nYousetthe standard for how theorganizationworks, not just whatitships. You model the durable skills -Observant, Curious,Determined - andinstitutionalizethemthrough hiring, coaching, rituals, governance, and leadership expectations.\nSuccess requires a leader who can operate fluidly across altitude: from senior executive stakeholder conversations, SaaS portfolio tradeoffs, workforce transformation strategy,and budget prioritization to product discovery reviews, architectural debates, AI-assisted delivery practices,vendor platform decisions,and talent development conversations with emerging leaders.\nWhat You Will Do\nLead the Pod\nLead a ~50-person product engineering organization across multiple autonomous pods, engineering leads, product engineers, and enabling capability teams - owning performance,deliveryhealth, talent development, and organizational effectiveness\n\nBuild the leadership system for the organization: clear goals, operating rhythms, delivery reviews, talent forums, retrospectives, and mechanisms that surface risks early without creating unnecessary process drag\n\nCreate clarity across teams on priorities, decision rights, ways of working, engineering standards, and how AI-assisted delivery should be used responsibly to accelerate outcomes\n\nRepresent the organization with senior business, product, technology, risk, finance, and HR stakeholders - translating strategy into delivery commitments and delivery realities back into executive decision-making\n\nOwn workforce planning, hiring strategy, vendor/resource mix, succession planning, and budget tradeoffs in partnership with senior leadership and finance.\n\nOversee a broad ecosystem of third-party SaaS applications, ensuring clear ownership, rationalized investment, strong vendor governance, secure integrations, operational resilience, and alignment to business outcomes\n\nLead a holistic AI-enabled workforce transformation across the organization - moving AI from isolated tooling to a scaled operating capability embedded in how teams plan, build, test, support, learn, and make decisions\n\nSet Direction & Shape Strategy\nTranslate enterprise and business goals into a coherent product engineering strategy, investment roadmap, capability plan, and measurable team-level outcomes.\n\nDefine and continuously evolve the product vision for Total Rewards technology - connecting employee, manager, HR, and business needs to a clear long-term direction, investment thesis, and measurable outcomes.\n\nSet the direction for how teams define problems, prioritize opportunities,validatehypotheses, and make tradeoffs across user value, technical feasibility, risk, cost, and speed.\n\nIdentifypatterns across pods and invest in shared platforms, reusable components, standards, and AI-enabled delivery practices that raise the productivity of the full organization.\n\nBuild trusted executive relationships by communicating progress, risks, dependencies, and tradeoffs with clarity, transparency, and a strong bias toward action.\n\nManage the portfolio with discipline - making explicit investment choices, managing capacity, tracking value realization, and ensuring budget is deployed against the highest-priority outcomes.\n\nDrive portfolio simplification across custom platforms and third-party SaaS solutions - reducing duplication, modernizing integration patterns, improving adoption, and ensuring technology spend is aligned to strategic value.\n\nDefine the AI workforce transformation roadmap, including capability uplift, adoption measurement, responsible usage standards, change management, communications, and practical enablement for engineers, product managers, managers, and business partners.\n\nArchitect for Speed & Safety\nEstablishorganization-widearchitecturalprinciples, engineeringguardrails, security expectations, and delivery standardsthat enablemultiple teamsto movequicklywithout accumulating unsustainable technical ordesigndebt.\n\nGovern the use of AI-generated code, designs, and architectural proposals across the organization - ensuring leaders and engineers understand when to trust, challenge, redirect, or reject AI output.\n\nDrivebuild-vs-configure-vs-orchestrate decisionsat portfolio level,leveragingthe internal developer platform, shared services, vendor capabilities,and AI agents appropriately.\n\nPartner with SaaS vendors and internal platform teams to shape roadmaps, influence product direction, manage escalations, and ensure third-party capabilities are integrated into a coherent product and data architecture.\n\nElevate Discovery & Validation\nModel and coach rigorous hypothesis-driven development - ensuring that speed of iteration is matched by quality of learning.\n\nDesign experiments that generate high-signal feedbackquickly, andestablish the metrics that matter before building begins.\n\nChallenge assumptions at every stage - including your own.\n\nLead Technical Validation\nRemainhands-onenough to write code, review pull requests,inspect critical technical decisions,validatehigh-risk AI-assisted outputs, challenge architectural assumptions, and coach leaders on technical quality.\n\nMaintain deep technical fluency across modern engineering practices, AI-assisted development, cloud-native architecture, security, resiliency, and data/platform patterns - without becoming a bottleneck for every decision.\n\nSet the engineering excellence bar across the organization, including code review expectations, testing strategy, observability, release governance, platform adoption, and responsible AI usage.\n\nInstitutionalize responsible AI usage across the workforce through standards, training, reusable patterns, measurement, and feedback loops that continuously improve productivity, quality, and employee experience.\n\nDevelop the Team & the Model\nBuild a strong leadership bench by coaching managers, product engineering leads, and senior practitioners - sharing mental models, raising standards, and creating clear paths for growth.\n\nCreate a talent enablement strategy for the organization, including capability mapping, skill development, succession planning, AI fluency, career pathways, and targeted hiring plans.\n\nContinuouslyevolvethe Product Engineer operating model - defining what should be standardized, what should remain autonomous, and how teams learn from each other across the organization.\n\nShape cross-functional ways of working with business, product, design, risk, operations, finance, and engineering partners - ensuring the organization is viewed as a strategic partner, not just a delivery function.\n\nWhat We Are Looking For\nDurable Skills - Non-Negotiable\nThese are the qualities wehire forfirst.They cannot be taught by a framework or acquired through a certification.\nSkill\nWhat It Looks LikeatSenior Level\nObservant\nYouseearound corners. You notice when a team is solving the wrong problem, when a metric is measuring the wrong thing, or when a system design will create friction three months from now. You read the room - and the data - before others know there is something to read.\nCurious\nYou have strong opinions, loosely held. You activelyseek outperspectives that challenge your mental models and update them when the evidencewarrantsit. You are as curious about people as you are about technology.\nDetermined\nYou drive outcomes, not activity. You know when to push through resistance and when to change direction - and you make that call with clarity and conviction. You do not let ambiguity become an excuse for inaction.\nOrganizationalLeadership - Required\nDemonstrated experience leading a multi-team product engineering organization, including managers, senior practitioners, and cross-functional delivery groups.\n\nAbility to build high-trust leadership teams, set clear expectations, coach through ambiguity, and hold leaders accountable for outcomes, quality, and team health.\n\nExperience creating environments where teams can move quickly, challenge assumptions, surface risks early, learn openly, and continuously improve without fear or bureaucracy.\n\nComfortoperatingas an executive-levelplayer-coach: close enough to product and engineering detail to improve decisions, but disciplined enough to scale through leaders and operating mechanisms.\n\nProven ability to attract, develop,retain, and enable talent across levels - including succession planning, capability building, performance management, and leadership development.\n\nExperience managing stakeholders, budgets, capacity plans, hiring plans, vendor/resource mix, and delivery commitments in complex, matrixed organizations.\n\nExperience overseeing a complex third-party SaaS portfolio, including vendor governance, contract and budget inputs, lifecycle management, platform rationalization, integration strategy, support models, and operational risk.\n\nProven ability to lead enterprise or organization-wide transformation programs, particularly thoserequiringbehavioral change, workforce enablement, operating model change, and measurable adoption of AI-enabled ways of working.\n\nTechnical Fluency - Required\nDemonstrated ability and willingness to remain hands-on with coding, prototyping, debugging, and technical validation - using direct engineering contribution to improve decisions, notreplaceteam ownership.\n\nAbility tocritically review andvalidateAI-generated code across multiple languages -identifyingcorrectness issues, security vulnerabilities, and architectural anti-patterns.\n\nStrong understanding ofsystem design principles: scalability, resilience, data consistency, API design, and security boundaries.\n\nProficiencywith AI coding tools (Devin AI, Claude Code, GitHub Copilot, Cursor) - including knowing their failure modes and limitations.\n\nExperience with cloud-native architectures,containerization(Docker, Kubernetes), and CI/CD practices.\n\nAbility to define and enforcetesting strategies - unit, integration, and end-to-end - in an AI-assisted development context.\n\nUnderstanding of SaaS platform architecture and governance, including integration patterns, identity and access management, data flows, vendor release management, security controls, and product lifecycle ownership.\n\nProduct & Design Fluency - Required\nProven ability to frame and runhypothesis-driven product development at pace.\n\nExperience definingproduct strategy and roadmap in ambiguous, fast-moving environments.\n\nAbility to articulate a compelling product vision that aligns stakeholders, guides roadmap tradeoffs, and creates a clear narrative for how technology enables differentiated...","description_format":"text","description_chars":14416,"description_truncated":true,"requirements":{"experience_years_min":null,"management_years_min":null,"team_size_min":null,"manages_managers":false,"education":{"level":"bachelor","optional":false},"security_clearance":false,"languages":[]},"benefits":[],"hiring_locations":[{"name":"United Kingdom","iso":"GB","kind":"country"}],"hiring_excludes":[],"relocation_offered":false,"industries":["Wealth Management","Lending","Payments","Capital Markets"],"lifecycle":[{"event":"open","at":"2026-09-23T14:23:21Z"}],"liveness":{"score":86,"band":"hot","label":"Hiring now","p_open":1,"p_active":0.86,"p_room":1,"age_days":0,"expected_fill_days":11,"reasons":["conf:0","win:early","comp:brand"],"computed_at":"2026-09-24T01:32:06Z"},"pay":null,"html_url":"https://alion.io/job/citi-head-of-product-engineering-hr-total-rewards-director","json_url":"https://alion.io/job/citi-head-of-product-engineering-hr-total-rewards-director.json","meta":{"generated_at":"2026-09-24T01:32:06Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers"}}