{"id":1386785,"url":"https://alion.io/job/pakistan-single-window-svp-enterprise-data-business-intelligence-analytics","title":"SVP - Enterprise Data, Business Intelligence & Analytics","company":{"id":5253,"name":"Pakistan Single Window","domain":"psw.gov.pk","url":"https://alion.io/company/pakistan-single-window","size_band":null,"is_staffing_agency":false,"employer_type":"direct","is_intermediary":false,"listed_via":null,"ats_vendor":"Workable","truth_index":null},"role":"Analytics","role_family":"Analytics","seniority":"head","employment_type":"full_time","work_mode":"on_site","remote_scope":null,"remote_scope_basis":null,"remote_working_hours":null,"hiring_geo_confidence":"structured","locations":["Karachi, Pakistan"],"countries":["PK"],"hiring_countries":[],"hiring_countries_total":0,"salary":null,"salary_estimate":{"min_usd":25000,"max_usd":55000,"period":"year","method":"global_role_cell_scaled_by_country","sample_n":351},"experience_years_min":null,"visa_sponsorship":false,"relocation_package":false,"has_equity":false,"technologies":[{"name":"ETL/ELT","optional":false},{"name":"Power BI","optional":false},{"name":"Python","optional":false},{"name":"SQL","optional":false},{"name":"Tableau","optional":false}],"status":"live","first_seen_at":"2026-09-28T10:26:16Z","employer_posted_date":"2026-09-28","last_verified_at":"2026-10-21T02:13:29Z","board_verified":true,"closed_at":null,"days_open":22,"trust":{"level":"ok","repost_count":null,"flags":[],"days_open":22},"description":"Job Purpose:\nProvide senior functional and operational leadership across Pakistan Single Window's Data Management Office, ensuring that enterprise data, business intelligence and analytics capabilities are delivered with strong governance, clear accountability, disciplined execution and sustainable technical foundations. \nThe role will translate organisational priorities into executable data initiatives, services and capabilities; strengthen delivery discipline; establish and enforce professional standards; and ensure that data governance, architecture, engineering, BI, analytics and data services operate as an integrated function. \nA particular focus of the role will be to establish PSW's data reporting capability as a reliable, digital and governed service, progressively reducing dependence on manual reporting, field-based MIS processes and repeated domain-level data validation. \nThe initial priority of the role is to bring visibility, sequencing and delivery discipline to the Data Management Office's active initiatives and to operationalise governance across current data workstreams. \nWithin the first 30 days, the SVP is expected to complete a baseline assessment of active initiatives and present a prioritisation and delivery plan to the CEO and CEDO. \nThe SVP will work closely with the CEDO, executive management, business functions and technology teams, providing the CEDO with strong functional leadership, objective performance visibility and practical recommendations on delivery, capability, priorities and risks. Given the direct bearing of data delivery on enterprise-wide reporting and client commitments, portfolio-level delivery performance is reported directly to the CEO alongside functional reporting to the CEDO. \nThe role is expected to lead primarily through functional teams and professional leads, while remaining willing to engage directly on critical workstreams where doing so is necessary to establish delivery momentum, before transitioning fully to a leadership-through-others model as team capability matures. \nMain Responsibilities:\nSections A-H define the full scope of the role. In the initial period, primary weight sits on B (Delivery, Performance and Reporting), C (Data Governance and Quality) and E (Data Reporting, BI, Analytics and Data Products); D, F and G are to be progressed in parallel; H operates as the ongoing stakeholder and engagement rhythm underpinning all of the above.\nA. Data Function Roadmaps and Prioritization\nTranslate and improve the approved data strategy and priorities into executable functional roadmaps, delivery plans and initiatives.\nMaintain functional roadmaps covering data governance, data platforms, reporting, BI, analytics and data services.\nIdentify opportunities where data, analytics, automation and AI can improve business performance, decision-making and service delivery.\nAdvise the CEDO on functional priorities, dependencies, risks, resource requirements and investment needs.\nEnsure that initiatives are prioritized based on business value, strategic importance, regulatory requirements, feasibility and available capacity.\nMaintain alignment between the Data Management Office's priorities and PSW's broader technology and enterprise architecture direction. \nB. Delivery, Performance and Reporting\nProvide functional leadership and oversight of the Data Management Office's delivery portfolio.\nConvert approved priorities into clear programmes, initiatives, deliverables, milestones, owners and dependencies.\nEstablish effective delivery management mechanisms covering progress, risks, dependencies, quality, resources and timelines.\nEnsure timely identification and escalation of delivery risks, bottlenecks and capacity constraints to the CEDO and, for portfolio-level delivery performance, to the CEO.\nChallenge slippage, unclear ownership and weak delivery performance and drive corrective action through responsible teams.\nEstablish delivery metrics and dashboards providing transparent, decision-oriented visibility of portfolio performance.\nEnsure delivery commitments are realistic, measurable and supported by appropriate technical and organizational capacity.\nWork with the CEDO to resolve cross-functional issues requiring executive intervention.\nProvide the CEO and CEDO with timely, accurate and decision-oriented reporting on portfolio delivery, functional performance, risks, dependencies, capability and resource requirements.\nEstablish mechanisms for measuring the effectiveness and maturity of data capabilities over time, and identify recurring delivery, governance or operational problems and drive their resolution.\nBenchmark relevant data management, BI and analytics practices where useful, and ensure that lessons from major initiatives are captured and incorporated into future delivery. \nC. Data Governance and Quality\nOperationalize and enforce PSW's enterprise data governance framework established under the direction of the CEDO.\nEstablish practical mechanisms for data ownership, stewardship, classification, access, metadata, lineage, retention and accountability.\nDefine and maintain data quality standards, controls, measures and reporting mechanisms.\nEstablish processes for identifying, prioritizing and resolving material data quality issues.\nPromote consistent business definitions, data standards and common terminology across PSW.\nEnsure appropriate governance over critical and shared data assets.\nCoordinate with Information Security, Legal, Risk, Internal Audit and relevant compliance functions to ensure that data access, classification, retention, privacy, sharing and usage comply with applicable legal, regulatory, contractual and organizational requirements.\nMonitor adherence to data governance standards and escalate material gaps and risks.\nWork with business and technology teams to embed governance into systems, processes and data products rather than treating it as a standalone compliance activity.\nImplement agreed governance forums, decision rights and escalation mechanisms and ensure their effective operation. \nD. Data Architecture and Engineering\nProvide functional oversight of data architecture and engineering capabilities, ensuring that technical teams deliver against agreed architecture, standards, priorities and performance expectations.\nEnsure that data architecture supports scalability, interoperability, reliability and future business requirements.\nOversee the development and evolution of appropriate data platforms, warehouses, lakes/lakehouses, marts and semantic layers.\nEnsure effective use of ETL/ELT, APIs, streaming and other appropriate data integration technologies.\nEstablish and enforce professional standards for conceptual, logical and physical data models, enterprise semantic layers, common business definitions, reusable data structures, data pipelines, integration, metadata and data lifecycle management.\nReview major architectural and platform decisions from a functional and business perspective and ensure alignment with enterprise architecture.\nEnsure that technical debt, legacy dependencies and platform risks are identified and addressed through appropriate roadmaps.\nWork with technology leadership and specialist teams to ensure that data platforms remain fit for purpose, secure and resilient. \nE. Data Reporting, BI, Analytics and Data Products\nEstablish PSW's enterprise data reporting capability as a centralized, digital, governed and reliable service.\nDevelop a roadmap to progressively replace manual reporting and field-based MIS processes with automated data pipelines, standardized data definitions, validation controls, dashboards and self service reporting.\nIdentify and prioritize high-volume, repetitive and manually produced MIS reports for digitization, consolidation or elimination.\nEstablish standardized enterprise datasets, semantic models, KPIs and reporting definitions so that management information is generated from common governed data.\nEstablish mechanisms through which routine data validation and reconciliation are increasingly performed through automated controls rather than manual intervention by domain teams.\nEnsure that data-quality exceptions are identified systematically and routed to the appropriate source or domain owner for resolution.\nEstablish service levels for reporting, including data refresh, availability, quality, incident resolution and report delivery.\nProvide functional leadership for enterprise BI, reporting and analytics capabilities, ensuring executive and operational reporting is based on trusted, consistent and appropriately governed data.\nEstablish standards for dashboards, reporting, metrics, KPIs and analytical outputs, and promote governed self-service BI and analytics where appropriate.\nDevelop and oversee a roadmap for advanced analytics, predictive modelling, automation and AI enabled decision support, ensuring appropriate business validation, data quality, model governance, explainability, performance monitoring and responsible use.\nData services and products: lead the development of reusable data services, datasets, APIs, data products and analytical capabilities for PSW's internal and external requirements, with clear ownership, purpose, users, quality expectations, service levels and performance measures for material data services.\nDevelop and maintain roadmaps for strategic data products and services, and promote reuse of common data assets and services across PSW rather than development of isolated solutions. \nF. Functional Leadership and Professional Capability\nMonitor adoption, performance, quality and business value of material data products and services, and work with business and technology stakeholders to identify opportunities for new data-enabled services.\nReduce duplication of reporting and promote reusable analytical assets and common data models.\nProvide senior professional leadership across the data, BI and analytics disciplines within the Data Management Office.\nEstablish clear professional expectations, standards, ways of working and accountability mechanisms across the function.\nAssess the capability, capacity and skills required to deliver the data portfolio effectively and provide objective recommendations to the CEDO.\nIdentify capability gaps and recommend appropriate responses, including recruitment, development, restructuring, outsourcing or specialist support where appropriate.\nDevelop and strengthen functional leads and managers to create leadership depth within the data organization.\nEstablish mechanisms for knowledge sharing, professional development and cross-functional collaboration.\nProvide the CEDO with objective assessments of functional performance, capability constraints and material people-related risks.\nSupport the CEDO in resolving organizational bottlenecks that affect data delivery.\nIdentify succession and continuity risks within critical technical and functional areas and recommend mitigation measures. \nG. Stakeholder and Business Engagement\nDevelop effective working relationships with business functions, technology teams and other key stakeholders to ensure that data capabilities respond to actual business requirements.\nTranslate business requirements and organizational priorities into practical data, reporting and analytics solutions.\nEnsure that data teams understand the operational context and business purpose behind their work.\nFacilitate resolution of conflicting data requirements, priorities and definitions across business functions.\nCommunicate complex data and analytical matters clearly to non-technical stakeholders.\nEstablish mechanisms for capturing stakeholder feedback and using it to improve data services and delivery.\nPromote practical adoption of data, BI and analytics in business decision-making. \nH. Portfolio, Resource and Vendor Management\nMaintain visibility of the Data Management Office's portfolio, resource requirements, dependencies and delivery capacity.\nSupport prioritization and allocati...","description_format":"text","description_chars":15008,"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":["Professional development"],"hiring_locations":[],"hiring_excludes":[],"relocation_offered":false,"industries":["Digital Government","Supply Chain & Logistics Software"],"lifecycle":[{"event":"open","at":"2026-09-28T10:26:16Z"}],"visa":[],"liveness":{"score":37,"band":"fade","label":"Fading","p_open":1,"p_active":0.677,"p_room":0.55,"age_days":21,"expected_fill_days":17,"reasons":["conf:0","win:tail"],"computed_at":"2026-10-20T05:45:00Z"},"pay":null,"html_url":"https://alion.io/job/pakistan-single-window-svp-enterprise-data-business-intelligence-analytics","json_url":"https://alion.io/job/pakistan-single-window-svp-enterprise-data-business-intelligence-analytics.json","meta":{"generated_at":"2026-10-21T05:41:01Z","cache_seconds":300,"methodology":"https://alion.io/methodology","terms":"https://alion.io/terms","contact":"https://alion.io/contact","api":"https://alion.io/developers","about":"Alion is a live layer of people, companies and AI agents: who they are, whether they are real and active right now, what they do and how to work with them, readable by people and by agents and paid per call.","catalog":"https://alion.io/catalog.json","usage":{"tier":"crawler_verified","counted_by":"address","units_charged":1,"used_today":8337,"day_limit":null,"remaining_today":null,"minute_limit":300,"resets_at":"2026-10-22T00:00:00Z"}},"offers":[{"id":"company.slices","title":"One company in depth, by slice","status":"live","price":{"credits":0.02,"usd":0.002,"plus_per_slice":{"credits":0.05,"usd":0.005}},"unit":"per company, plus each slice with data","note":"the employer in depth","call":{"mcp_tool":"get_company","arguments":{"id":5253},"rest":"https://alion.io/mcp/rest/get_company?id=5253"},"human":"https://alion.io/catalog?offer=company.slices&for=job%2Fpakistan-single-window-svp-enterprise-data-business-intelligence-analytics"},{"id":"market.stats","title":"A market slice: pay, demand and time to fill","status":"live","price":{"credits":1,"usd":0.1},"unit":"per slice","note":"pay, demand and time to fill for this role and place","call":{"mcp_tool":"market_stats"},"human":"https://alion.io/catalog?offer=market.stats&for=job%2Fpakistan-single-window-svp-enterprise-data-business-intelligence-analytics"},{"id":"job.search","title":"Open jobs by role, technology, place, pay and visa","status":"live","price":{"credits":0.02,"usd":0.002},"unit":"per posting in a list","note":"similar open postings","call":{"mcp_tool":"search_jobs"},"human":"https://alion.io/catalog?offer=job.search&for=job%2Fpakistan-single-window-svp-enterprise-data-business-intelligence-analytics"},{"id":"company.verify","title":"Is this company real and active right now","status":"pilot","price":null,"unit":"per company","request":{"url":"https://alion.io/catalog/request","method":"POST","body":"{\"offer\": \"company.verify\", \"for\": \"job/pakistan-single-window-svp-enterprise-data-business-intelligence-analytics\", \"note\": \"what you need it for\"}"},"human":"https://alion.io/catalog?offer=company.verify&for=job%2Fpakistan-single-window-svp-enterprise-data-business-intelligence-analytics"}]}