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ai governance lead

Systems Limited

<div>
 
 
 Experience required:
 
 5-8 Years
 
 
 
 Location
 
 : Islamabad
 
 
 
 
 
 Systems Limited is seeking a highly motivated
 
 AI Governance Lead
 
 to join our team in Islamabad. This role will be responsible for driving the implementation and ongoing management of the
 
 AI Management System (AIMS)
 
 in alignment with
 
 ISO/IEC 42001
 
 , while establishing strong AI governance, risk management, and compliance practices across the organization.
 
 
 
 
 
 Key Responsibilities:
 
 
 
 
 
 
 1. ISO/IEC 42001 Implementation &amp; Management
 
 
 <ul>
 <li>
 Lead the implementation and certification of
 
 ISO/IEC 42001 (AI Management System &ndash; AIMS)
 
 .
 </li>
 <li>
 Develop, implement, and maintain the organization&rsquo;s AI Management System.
 </li>
 <li>
 Establish policies, procedures, and documentation aligned with ISO 42001 requirements.
 </li>
 <li>
 Coordinate internal and external audits and act as the primary point of contact for auditors.
 </li>
 <li>
 Track, manage, and close audit findings through effective corrective and preventive actions.
 </li>
 <li>
 Ensure ongoing compliance through regular monitoring, reviews, and continuous improvement initiatives.
 </li>
 </ul>
 
 
 2. AI Governance &amp; Policy Framework
 
 
 <ul>
 <li>
 Design and implement the organization&rsquo;s
 
 AI governance framework
 
 , including policies, standards, and guidelines.
 </li>
 <li>
 Define acceptable and prohibited AI use cases across business functions.
 </li>
 <li>
 Develop AI usage guidelines and best practices for internal teams.
 </li>
 <li>
 Ensure alignment with
 
 data protection, privacy, and information security policies
 
 .
 </li>
 <li>
 Maintain an inventory of AI systems and ensure proper classification and documentation.
 </li>
 </ul>
 
 
 3. AI Risk Management &amp; Impact Assessments
 
 
 <ul>
 <li>
 Conduct and maintain
 
 AI Impact Assessments (AIIA)
 
 for AI systems and use cases.
 </li>
 <li>
 Identify and evaluate risks related to:
 </li>
 <li>
 Bias and fairness
 </li>
 <li>
 Privacy and data protection
 </li>
 <li>
 Security vulnerabilities
 </li>
 <li>
 Model reliability and performance
 </li>
 <li>
 Ethical considerations
 </li>
 <li>
 Maintain AI risk registers and define mitigation strategies.
 </li>
 <li>
 Ensure periodic reassessment of deployed AI systems to maintain compliance and risk control.
 </li>
 </ul>
 
 
 4. AI Tools Governance &amp; Vendor Evaluation
 
 
 <ul>
 <li>
 Evaluate and review new AI tools and technologies prior to adoption.
 </li>
 <li>
 Conduct risk and compliance assessments of
 
 third-party AI vendors and solutions
 
 .
 </li>
 <li>
 Ensure proper due diligence, governance controls, and contractual safeguards are in place.
 </li>
 <li>
 Establish and manage the approval workflow for AI tool adoption.
 </li>
 <li>
 Monitor and address
 
 shadow AI usage
 
 across the organization.
 </li>
 </ul>
 
 
</div>

AI Governance Lead

Pakistan Digital Authority

<div>
 
 The Pakistan Digital Authority is Pakistan's apex statutory body for national digital transformation, established under the Digital Nation Pakistan Act 2025. PDA is responsible for the country's Digital Public Infrastructure (DPI), AI and data governance frameworks, national digital standards, and the Digital Nation Masterplan &mdash; a cross-government programme covering all provinces, the whole of government, and 240 million citizens.
 
 
 
 
 
 This is not a typical government role. PDA operates with the mandate of a regulator, the ambition of a national transformation programme, and the urgency of a startup.
 
 
 
 
 
 
 The Role
 
 
 
 
 
 
 The Chief AI Officer is a founding executive appointment at PDA and the senior-most AI leadership role in Pakistan's public sector.
 
 
 
 
 
 You will carry two distinct but deeply connected mandates: AI supervision &mdash; building the regulatory, governance, and oversight architecture that governs how AI is developed and deployed across Pakistan; and AI use-case strategy &mdash; identifying, prioritising, and driving the AI applications that will transform government services and public outcomes at scale.
 
 
 
 
 
 You will report directly to the Chairperson and work alongside the Chief Data Officer and be part of PDA's integrated technology governance team.
 
 
 
 
 
 
 What You Will Lead
 
 
 
 
 
 
 AI Governance &amp; Supervision
 
 
 &rtrif; Lead the development of Pakistan's National AI Governance Framework &mdash; covering AI risk classification, algorithmic accountability, transparency requirements, and prohibited use definitions
 
 
 
 
 
 &rtrif; Own PDA's AI regulatory instruments under the Digital Nation Pakistan Act &mdash; including government AI use policies, AI audit frameworks, and conformity assessment protocols for high-risk AI systems
 
 
 
 
 
 &rtrif; Help establish the National AI Advisory Council &mdash; convening government, academia, civil society, and industry to inform national AI policy
 
 
 
 
 
 &rtrif; Develop Pakistan's position on sovereign AI infrastructure &mdash; national compute, foundational models, and AI supply chain resilience
 
 
 
 
 
 
 AI Strategy &amp; Use-Cases
 
 
 
 &rtrif; Build and own PDA's government AI use-case portfolio &mdash; identifying highest-impact applications across health, justice, education, taxation, social protection, and public safety
 
 
 
 
 
 &rtrif; Lead the strategy and oversight of PDA's AI solutions suite
 
 
 
 
 
 &rtrif; Design the AI maturity assessment framework for federal ministries and lead national AI readiness diagnostics
 
 
 
 
 
 &rtrif; Drive Pakistan's AI talent and capability strategy in partnership with higher education institutions and the technology industry
 
 
 
 
 
 &rtrif; Build and lead PDA's AI Division &mdash; hiring AI policy specialists, applied AI engineers, and research capacity
 
 
 
 
 
 
 What We Are Looking For
 
 
 
 
 
 
 Essential
 
 
 ✔ 15+ years of progressive experience spanning AI/ML, technology strategy, or technology policy &mdash; with significant leadership tenure
 
 
 ✔ Demonstrated command of AI governance principles: risk-based classification, algorithmic accountability, explainability, fairness, and AI safety
 
 
 ✔ Track record of leading AI strategy at organisational or national scale &mdash; governance and policy architecture, not just AI delivery
 
 
 ✔ Ability to operate fluently across technical and policy registers &mdash; credible with engineers and with ministers
 
 
 ✔ Experience building and leading high-performing cross-functional teams in complex institutional environments
 
 
 
 
 
 Highly Valued
 
 
 ✦ Experience in a national AI authority, government AI body, or equivalent institution
 
 
 ✦ Deep familiarity with international AI governance frameworks: EU AI Act, OECD AI Principles, NIST AI RMF, UNESCO Recommendation on AI Ethics
 
 
 ✦ Hands-on experience with large language models, Generative AI deployment, and the governance challenges they create in public sector contexts
 
 
 ✦ Exposure to sovereign AI infrastructure &mdash; national compute strategy, open-source foundation models, AI procurement policy ✦ Understanding of AI's intersection with data governance, digital identity, and digital public infrastructure
 
 
 
 
 
 
 Why PDA
 
 
 
 &rarr; Shape the AI governance architecture of a nation of 240 million people &mdash; one of the highest-impact AI leadership roles in the developing world &rarr; Direct reporting line to the Chairperson &amp; CEO; seat at PDA's executive leadership table &rarr; Influence Pakistan's AI legislation, international AI commitments, and the sovereign AI infrastructure agenda
 
 
 &rarr; Competitive compensation benchmarked to Pakistan's senior public sector reform appointments and international GovTech norms
 
</div>

Chief AI Officer

Jazz

<div>
 
 
 Title: Practice Lead - Data Science - Teknosys
 
 Level: L3
 
 Location: Islamabad
 
 Last Date to Apply: 16th April 2026
 
 
 
 
 What does a Practice Lead - Data Science/AI do?
 
 
 
 The Practice Lead is a senior role responsible for building, scaling, and institutionalizing the organization's AI and Data Science capabilities. This role requires a strong blend of
 
 strategic vision, people leadership, delivery excellence, and governance
 
 to establish Data Science/AI as a core business enabler.
 
 
 The Practice Lead will define the long-term AI vision and translate it into a
 
 practical, execution-driven roadmap
 
 , ensuring alignment with organizational priorities and measurable business outcomes. The role focuses on creating a
 
 high-impact practice
 
 that balances innovation with reliability, enabling both rapid experimentation and production-grade deployments.
 
 
 A critical component of this role is
 
 people leadership
 
 . The Practice Lead is responsible for building and nurturing a
 
 diverse, high-performing team of data scientists, ML engineers, and AI specialists
 
 , including hiring, mentoring, and developing talent. The role requires fostering a culture of
 
 collaboration, accountability, continuous learning, and ethical AI development
 
 , while establishing clear career paths, competency frameworks, and performance standards.
 
 
 The Practice Lead will also establish and enforce
 
 best practices across the AI/ML lifecycle
 
 , ensuring consistency, scalability, and governance. This includes standardizing processes for data management, model development, validation, deployment, and monitoring, along with driving adoption of
 
 MLOps practices
 
 such as CI/CD for ML, automated testing, and model lifecycle management. Ensuring
 
 model explainability, fairness, security, and compliance
 
 is a key responsibility. Acting as a bridge between business and technology, the Practice Lead ensures that AI initiatives are
 
 problem-driven, ROI-focused, and scalable
 
 , integrating seamlessly into enterprise systems.
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Define and drive the
 
 AI and Data Science strategy
 
 , ensuring alignment with organizational goals and measurable business outcomes
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Identify, prioritize, and deliver
 
 high-impact AI use cases
 
 that create tangible business value
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Build, lead, and mentor a
 
 high-performing team
 
 of data scientists, ML engineers, and AI specialists
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Establish and scale a
 
 structured Data Science/AI practice
 
 , including operating model, standards, and governance frameworks
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Oversee
 
 end-to-end delivery of AI solutions
 
 , ensuring scalability, reliability, and production readiness
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Implement and enforce
 
 best practices across the AI/ML lifecycle
 
 , including MLOps, model monitoring, and continuous improvement
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Act as a
 
 trusted advisor to senior leadership
 
 , translating business challenges into AI-driven solutions
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Ensure
 
 responsible and ethical AI practices
 
 , including data privacy, model explainability, and regulatory compliance
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Guide the selection and adoption of
 
 AI technologies, platforms, and architectures
 
 aligned with enterprise strategy
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Drive
 
 innovation and continuous improvement
 
 by evaluating emerging technologies such as Generative AI and Large Language Models (LLMs)
 
 
 
 
 Requirements
 
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Bachelor's or Master's degree in Computer Science, Data Science, AI, or related field
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; 8+ years of experience in AI/ML/Data Science, with
 
 4+ years in leadership roles
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Proven track record of delivering
 
 enterprise-scale AI solutions
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong expertise in
 
 ML, Deep Learning, NLP, and/or Generative AI
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Experience with
 
 cloud platforms (AWS, Azure, GCP)
 
 and MLOps practices
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Demonstrated ability to
 
 build, lead, and develop high-performing teams
 
 , including mentoring, performance management, and fostering a collaborative culture
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong stakeholder management and communication skills
 
 
 
 
 
 Behavioural &amp; Core Competencies
 
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strategic thinking and vision
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Leadership and team building
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Strong business and technical acumen
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Innovation and problem-solving mindset
 
 
 &middot;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp;&nbsp; Decision-making under ambiguity
 
 
 
 
 Benefits
 
 
 
 
 
 Why Join Teknosys?
 
 
 
 At Teknosys, you will be at the forefront of
 
 &nbsp;Pakistan's digital transformation journey
 
 , shaping solutions across AI, Data, IT, and Managed Services. You'll work alongside some of the brightest minds in the industry, partner with global hyperscalers &amp; leaders, and close deals that define the future of digital in the region.
 
 
 Joining us means being part of a&nbsp;
 
 fast-scaling, innovation led business
 
 &nbsp;where your impact will directly fuel growth, customer success, and leadership.
 
</div>

Practice Lead - Data Science - Teknosys

Taleemabad

<div>
 
 
 Lead Analytics Engineer Role @ Taleemabad
 
 
 
 
 
 
 
 About Taleemabad
 
 
 
 Taleemabad is transforming the lives of hundreds of thousands of children across Pakistan by working with public schools to improve learning outcomes. We partner with forward-thinking governments, leverage technology, and use rigorous evidence and data to ensure that teachers teach well, learning is visible, and every child has access to high-quality education. We believe deeply in efficiency, cost-effectiveness, and scaling impact nationally.
 
 
 
 
 
 
 Key Responsibilities
 
 
 <ul>
 <li>
 Lead the development of AI-powered data tools, including custom MCPs and workflow automation systems
 </li>
 <li>
 Identify high-leverage opportunities to integrate AI into analytics workflows (e.g., query generation, QA, documentation, insight generation)
 </li>
 <li>
 Ensure AI-generated outputs meet standards of accuracy, reliability, and interpretability before adoption
 </li>
 <li>
 Establish best practices for safely and effectively using AI in data work, including validation, monitoring, and iteration
 </li>
 <li>
 Partner with engineering to productionize AI-enabled data capabilities and embed them into the team&rsquo;s workflows
 </li>
 <li>
 Define and drive the analytics engineering roadmap
 </li>
 <li>
 Review and audit complex analyses and data models for accuracy and rigor
 </li>
 <li>
 Evaluate and recommend new tools, frameworks, and methodologies
 </li>
 <li>
 Lead build-vs-buy decisions for analytics tooling
 </li>
 <li>
 Establish and manage data governance frameworks across the organization
 </li>
 <li>
 Run structured audit programs for key datasets and metrics
 </li>
 <li>
 Resolve cross-functional conflicts around data definitions
 </li>
 <li>
 Partner with leadership to co-create and define success metrics
 </li>
 <li>
 Translate company strategy into a clear analytics agenda
 </li>
 <li>
 Drive adoption of data-driven decision-making across teams
 </li>
 <li>
 Lead data literacy initiatives for non-technical stakeholders
 </li>
 <li>
 Manage team portfolio
 </li>
 <li>
 Mentor senior analysts and analytics engineers
 </li>
 </ul>
 
 
 
 
 
 Requirements:
 
 
 <ul>
 <li>
 5+ years in analytics, data, or product roles
 </li>
 <li>
 Strong SQL and data modeling; experience with modern data stack (e.g., dbt, BigQuery, Snowflake)
 </li>
 <li>
 Hands-on experience integrating AI/LLMs into data workflows
 </li>
 <li>
 Proven track record of building and scaling data tools or analytics systems
 </li>
 <li>
 Experience ensuring data quality through validation, auditing, and governance
 </li>
 <li>
 Ability to translate business needs into data solutions and drive decisions
 </li>
 <li>
 Experience collaborating with engineering to productionize solutions
 </li>
 <li>
 Strong stakeholder management and communication skills
 </li>
 <li>
 Experience owning roadmaps and leading projects end-to-end
 </li>
 <li>
 Prior experience mentoring or managing team members (preferred)
 </li>
 </ul>
 
 
</div>

Lead Analytics Engineer

NCRI

<div>We are seeking a Director of Data Science &amp; AI Enablement to lead the strategy, implementation, and adoption of Artificial Intelligence across the organization. This leadership role will drive innovation and operational excellence by enabling data-driven decision-making, advancing AI capabilities, and delivering hyper-personalized financial services for customers.
The Director will oversee the AI strategy across four key pillars:<ul><li>
AI for Everyone: Improving employee productivity through AI tools</li><li>
AI for Citizen Innovators: Enabling teams to build custom automations</li><li>
AI for Builders: Accelerating engineering through AI-powered development</li><li>
AI for Customers: Delivering AI-powered products and personalized customer experiences</li></ul>
This role leads the Data Science &amp; AI Enablement team, manages the AI model lifecycle, and partners with business and technology leaders to embed AI capabilities across the organization.<h2 class="jobSectionHeader">
Key Responsibilities</h2><h3 class="jobSectionHeader">
AI Strategy &amp; Leadership</h3><ul><li>
Define and execute the enterprise AI strategy aligned with organizational goals.</li><li>
Lead the Data Science &amp; AI Enablement team, ensuring operational reliability of deployed AI and LLM models.</li><li>
Direct the full AI/ML lifecycle including model selection, fine-tuning, prompt engineering, RAG design, benchmarking, and evaluation.</li><li>
Establish and lead the AI Center of Excellence (COE) and AI governance frameworks.</li><li>
Partner with Enterprise Architecture, Cybersecurity, and Technology leadership to ensure compliance, security, and scalability of AI systems.</li></ul><h3 class="jobSectionHeader">
AI Innovation &amp; Business Impact</h3><ul><li>
Identify and deliver AI opportunities across business units to improve productivity, operations, and customer experience.</li><li>
Collaborate with product teams to develop AI-driven products and insights.</li><li>
Build advanced machine learning models leveraging large datasets (transactional, marketing, and behavioral data).</li><li>
Translate complex analytical insights into business strategies and measurable outcomes.</li></ul><h3 class="jobSectionHeader">
Cross-Functional Collaboration</h3><ul><li>
Work with engineering teams to productionize machine learning solutions.</li><li>
Partner with stakeholders across product, marketing, operations, customer support, and technology to solve business challenges with AI.</li><li>
Promote a data-driven culture through internal training, workshops, and thought leadership.</li></ul><h3 class="jobSectionHeader"> 
People Leadership</h3><ul><li>
Lead and mentor a high-performing data science and AI team.</li><li>
Align team goals with organizational strategy and forecast future resourcing needs.</li><li>
Foster professional growth and ensure knowledge sharing across teams.</li><li>
Remove operational blockers and enable teams with the tools and processes needed for success.</li></ul><h2 class="jobSectionHeader"> 
Qualifications</h2><ul><li>
Master&rsquo;s or PhD in Mathematics, Statistics, Computer Science, Actuarial Science, or related field</li><li>
Strong background in machine learning, statistics, probability, and algorithms</li><li>
Experience with Python, Scala, R, SQL and machine learning frameworks such as PyTorch, Keras, Scikit-learn, or SparkML</li><li>
Familiarity with cloud platforms (Google Cloud preferred, AWS, Azure)</li><li>
Experience with data visualization tools (Power BI or similar)</li><li>
Proven leadership experience managing data science or AI teams</li><li>
Experience in financial services, brokerage, or retail banking preferred</li><li>
Strong ability to communicate complex technical concepts to business stakeholders</li></ul></div>

Director/Manager, Data Science & AI Enablement

Datamatics Global Services Ltd

<div><h2 class="jobSectionHeader">Job Title: Data Architect</h2>
Experience: 9+ Years 
Industry: Banking / Financial Services 
Location:Pakistan 
Employment Type: Full-Time<h2 class="jobSectionHeader">
Job Summary</h2>
We are seeking an experienced Data Architect with a strong background in AI/ML and Big Data architectures to design, implement, and govern enterprise-wide data solutions. The ideal candidate will play a critical role in enabling data-driven decision-making, advanced analytics, and AI capabilities within a banking environment while ensuring compliance with regulatory and security standards.<h2 class="jobSectionHeader">
Key Responsibilities</h2><ul><li>
Design and implement enterprise data architecture across traditional systems, Big Data platforms, and cloud ecosystems.</li><li>
Architect scalable data lakes, data warehouses, and lakehouse solutions supporting structured and unstructured data.</li><li>
Define and manage data models, metadata frameworks, and data integration patterns for enterprise-wide use.</li><li>
Build and optimize data pipelines for batch and real-time processing using technologies like Hadoop, Spark, and Kafka.</li><li>
Enable AI/ML use cases by designing data platforms compatible with Python-based frameworks such as TensorFlow, PyTorch, and MLflow.</li><li>
Lead cloud data architecture initiatives across AWS, Azure, and GCP, ensuring high availability, scalability, and cost efficiency.</li><li>
Implement and enforce data governance, data quality, and data security frameworks using tools such as Collibra, Alation, and Apache Atlas.</li><li>
Collaborate with cross-functional teams including data engineers, data scientists, business analysts, and IT teams.</li><li>
Design and oversee ETL/ELT processes using tools like Informatica, Talend, and dbt.</li><li>
Utilize orchestration frameworks such as Apache Airflow to automate and monitor workflows.</li><li>
Ensure compliance with banking regulations, data privacy laws, and security standards.</li><li>
Evaluate and recommend emerging technologies to enhance the organization&rsquo;s data capabilities.</li></ul><h2 class="jobSectionHeader">
Required Skills &amp; Qualifications</h2><ul><li>
Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Information Systems, Data Science, or related field.</li><li>
9+ years of experience in data architecture, data engineering, or related roles, preferably in the banking or financial services industry.</li><li>
Strong expertise in Big Data technologies: Hadoop, Spark, Kafka.</li><li>
Hands-on experience with cloud platforms: AWS, Microsoft Azure, or Google Cloud Platform.</li><li>
Proficiency in data modeling (conceptual, logical, physical) and database design.</li><li>
Experience with data warehousing and lakehouse architectures (Snowflake, Databricks).</li><li>
Strong understanding of AI/ML data pipelines and frameworks (Python, TensorFlow, PyTorch).</li><li>
Expertise in ETL/ELT tools and data pipeline orchestration.</li><li>
Knowledge of data governance, metadata management, and data quality frameworks.</li><li>
Familiarity with banking data domains (risk, compliance, fraud, customer analytics).</li><li>
Excellent problem-solving, communication, and stakeholder management skills.</li></ul><h2 class="jobSectionHeader">
Preferred Qualifications</h2><ul><li>
Certifications in Cloud Platforms (AWS/Azure/GCP) or Data Architecture.</li><li>
Experience with real-time streaming architectures.</li><li>
Knowledge of regulatory frameworks such as Basel III, GDPR, or local banking compliance standards.</li><li>
Exposure to Data Mesh or Data Fabric architectures.</li><li>
Experience with API-based data integration and microservices architecture.</li></ul><h2 class="jobSectionHeader">
Key Competencies</h2><ul><li>
Strategic Thinking</li><li>
Data Governance &amp; Compliance</li><li>
Solution Architecture</li><li>
Stakeholder Management</li><li>
Innovation &amp; Continuous Improvement</li></ul>
CQRSVKAboh</div>

Data Architect

<div>
 
 The Executive Director for Portfolio Management is the senior accountable owner of how Pakistan's national digital transformation investments are selected, governed, delivered, and measured. This role operates at two levels simultaneously. Internally, you will own PDA's programme and project portfolio &mdash; ensuring that every initiative PDA runs is governed rigorously, delivered with discipline, and produces measurable outcomes. Externally, you will build and operate the national digital portfolio oversight function &mdash; giving PDA and the federal government a consolidated, real-time view of digital investment performance across all ministries and provincial digital programmes. You will report directly to PDA's senior leadership and work closely with the Enterprise Architecture, Strategy, and AI teams to ensure portfolio decisions are architecturally coherent, strategically aligned, and benefits-driven.
 
 
 
 
 
 
 What You Will Lead
 
 
 
 PDA Internal Portfolio
 
 
 &rtrif; Establish and run PDA's Enterprise Portfolio Management Office (EPMO) &mdash; defining the governance frameworks, delivery standards, and reporting cadences that govern all PDA programmes and projects
 
 
 &rtrif; Own the integrated PDA programme portfolio: Digital Nation Masterplan delivery, DPI platform rollouts, AI solutions suite, legislative reform workstreams, and standards development programmes
 
 
 &rtrif; Institute PDA's project lifecycle framework &mdash; from concept and business case through to delivery, benefits realisation, and closure &mdash; aligned to international best practice (MSP, PRINCE2, PMI, or equivalent)
 
 
 &rtrif; Drive portfolio prioritisation and resource allocation &mdash; maintaining a live, balanced portfolio that reflects PDA's strategic objectives and capacity constraints
 
 
 &rtrif; Establish benefits realisation frameworks and KPI dashboards that provide PDA leadership with accurate, decision-ready visibility of programme performance
 
 
 &rtrif; Manage interdependencies across PDA's workstreams &mdash; preventing programme conflicts, resolving delivery blockers, and escalating risks with solutions National Digital Portfolio Oversight
 
 
 &rtrif; Design and institutionalise the National Digital Investment Oversight Framework &mdash; the mechanism by which PDA reviews, approves, and monitors significant digital investments across federal ministries and government bodies
 
 
 &rtrif; Build and operate a National Digital Portfolio Dashboard &mdash; a consolidated, real-time view of government-wide digital programme performance, spend, and benefits delivery
 
 
 &rtrif; Establish the Digital Investment Review Board &mdash; a cross-government governance body that assesses major digital business cases for architectural alignment, strategic fit, and value-for-money before approval
 
 
 &rtrif; Lead the development of standardised digital business case templates, investment appraisal criteria, and benefits measurement frameworks for use across all government institutions
 
 
 &rtrif; Engage federal ministries and provincial digital offices to build portfolio management capability &mdash; driving maturity uplift across the public sector delivery ecosystem
 
 
 &rtrif; Build and lead PDA's Portfolio Management Division &mdash; hiring programme managers, PMO analysts, benefits realisation specialists, and portfolio governance experts
 
 
 
 
 
 
 What We Are Looking For
 
 
 
 Essential
 
 
 ✔ 15+ years of progressive experience across programme management, portfolio governance, or digital delivery &mdash; with significant leadership tenure
 
 
 ✔ Demonstrated experience running a PMO or EPMO at enterprise or government scale &mdash; designing governance frameworks, not just operating within them
 
 
 ✔ Track record of delivering complex, multi-workstream programmes in institutional environments with high stakeholder complexity
 
 
 ✔ Strong command of portfolio investment management &mdash; business case development, benefits realisation, portfolio prioritisation, and value-for-money assessment
 
 
 ✔ Fluency in leading delivery frameworks: MSP, PRINCE2, PMI/PMP, SAFe, or equivalent &mdash; and the judgement to apply them pragmatically
 
 
 ✔ Experience producing executive and ministerial-level portfolio reporting &mdash; translating delivery complexity into clear, decision-ready insight
 
 
 Highly Valued
 
 
 ✦ Experience establishing or leading a national or whole-of-government digital portfolio oversight function
 
 
 ✦ Background in GovTech or public sector digital delivery &mdash; understanding of how government programmes are funded, approved, and governed
 
 
 ✦ Familiarity with digital maturity assessment and capability development across government institutions
 
 
 ✦ Exposure to infrastructure and DPI programme delivery &mdash; large-scale platform rollouts, national digital identity systems, or shared government services
 
 
 ✦ Understanding of how portfolio management intersects with enterprise architecture &mdash; ensuring delivery coherence, not just delivery velocity
 
 Why PDA
 
 
 
 &rarr; Own the governance and delivery engine of Pakistan's national digital transformation &mdash; a role that spans every ministry and every province
 
 
 &rarr; Direct reporting line to PDA's senior leadership; influence over the allocation and performance of Pakistan's entire digital investment portfolio
 
 
 &rarr; Build the national digital PMO function from the ground up &mdash; set the standards, design the frameworks, and establish the institution
 
 
 &rarr; Competitive compensation benchmarked to Pakistan's senior public sector reform appointments and international GovTech norms
 
 
 
</div>

Executive Director, Portfolio Management

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