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avp technical lead automation tcoe mgn pak tech transformation office mit pakcoe

Mashreq

<div>
 The transformation office is working on establishing Mashreq&rsquo;s Testing Center of Excellence (TCOE). It is a centralized testing framework within an organization that standardizes processes, tools, best practices, and governance. In a global bank like Mashreq, it acts as a quality assurance hub that provides strategy, tools, and resources across technology and business domains spanning retail, digital, corporate, investment banking, and regulatory areas. The purpose of the job is to augment TCOE automation process and artifacts, ensure their implementation on the project under test, creating test KPIs, metrics and dashboards and capturing them across Mashreq projects. The role must be self-directed and comfortable supporting the needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company&rsquo;s automation testing practices, SOPs and architecture to support our next generation of products and Quality initiatives.
 
 
 Key Result Areas
 
 &middot; Define the vision and roadmap for automation testing, performance testing, and test data management aligned with organizational goals. &middot; Drive innovation and continuous improvement across technical QA practices. &middot; Establish automation first mind set &middot; Establish governance frameworks for automation, performance, and data strategies, ensuring compliance with internal policies and industry standards. &middot; Conduct technical audits and reviews to validate implementation quality and adherence across portfolios. &middot; Tech Auditors act as the Technical Lead&rsquo;s eyes, ensuring consistent execution of strategies across delivery teams. &middot; Design and maintain scalable, reusable frameworks for UI, API, performance, and data testing. &middot; Standardize tools and processes across teams to ensure consistency, scalability, and quality. &middot; Evaluate and integrate modern and AI-driven tools into the QA ecosystem. &middot; Ensure seamless integration of automation tools with CI/CD pipelines and test management systems. &middot; Define and track KPIs for automation, performance, and data quality (e.g., coverage, execution time, reliability). &middot; Implement dashboards to monitor effectiveness, identify gaps, and drive improvements. &middot; Leverage analytics and historical data to proactively identify risks and optimization opportunities. &middot; Develop training programs and documentation to upskill QA teams on tools, frameworks, and technical strategies. &middot; Facilitate knowledge-sharing sessions to disseminate best practices and lessons learned. &middot; Mentor QA engineers and promote technical excellence across teams. &middot; Work closely with QA portfolio leads, developers, DevOps, and business stakeholders to
 
 align technical strategies with project goals. &middot; Act as a consultant/advisor to project teams on automation, performance, and data implementation. &middot; Support delivery teams in resolving technical challenges and optimizing testing approaches. &middot; Foster a culture of experimentation and innovation, encouraging the use of emerging technologies such as AI/ML in testing. &middot; Continuously assess and refine strategies, frameworks, and tools to stay ahead of industry trends. &middot; Benchmark internal practices against industry standards to identify improvement opportunities.
 
 Operating Environment, Framework and Boundaries, Working Relationships
 
 &middot; Able to Effectively Plan &amp; Organize automation strategy &middot; Strong Interpersonal Communication &middot; Assist others in the completion of their tasks to support the group goals &middot; Build and maintain cooperative work relationships with others
 
 Problem Solving
 
 &middot; Experienced in application designing, architecting, development and deployment of TCOE automation manifesto. Must be efficient in banking domain and know QA best practices. &middot; Strong testing design and implementation skills. Experienced in banking applications automation. &middot; Feasibility Analysis- Analyze the requirements to define scope and evaluate technical feasibility for test automation.
 
 Decision Making Authority &amp; Responsibility
 
 &middot; Work on the right tasks by ensuring they know their top deliverables &middot; Assume personal responsibility for achieving outcomes
 
 Knowledge, Skills and Experience
 
 &middot; Define and evolve the automation roadmap, integrating performance, data, and security testing aligned with CI/CD pipelines. &middot; Architect reusable, scalable frameworks for UI, API, performance, and data testing using tools like Selenium, Playwright, Appium, and Rest Assured &middot; Establish automation governance, ensuring adherence to internal QA policies and regulatory standards. &middot; Evaluate and integrate modern tools into the QA ecosystem, ensuring seamless CI/CD integration and test management system compatibility. &middot; Define KPIs such as automation coverage, defect leakage, execution time, and ROI. Implement dashboards for real-time monitoring. &middot; Languages: Java, Python, JavaScript &middot; Tools: Selenium, Playwright, Appium, JMeter, Jenkins, Git, Azure DevOps &middot; Frameworks: BDD (Cucumber), TestNG, JUnit &middot; API Testing: Postman, SoapUI &middot; Database: SQL, Oracle, MongoDB &middot; Experience embedding automation into CI/CD pipelines and DevSecOps workflows. &middot; Expertise in synthetic data generation, Excel-based input handling, and validation logic. &middot; Build and maintain dashboards for execution history, defect tracking, and scenario-wise success rates. &middot; Lead and mentor automation engineers across pods and geographies. &middot; Collaborate with QA managers, DevOps, business analysts, and product owners. &middot; Drive knowledge-sharing sessions and capability-building initiatives.
 
 &middot; Act as a technical advisor in stakeholder demos and internal audits. &middot; Define and maintain automation strategy and frameworks. &middot; Conduct feasibility studies and tool evaluations. &middot; Oversee script development, dry runs, and batch execution. &middot; Ensure traceability and coverage across test artefacts. &middot; Troubleshoot and resolve technical issues. &middot; Track and report automation metrics and ROI. &middot; Ensure alignment with QA policy and regulatory mandates. &middot; Bachelor&rsquo;s/Master&rsquo;s in Computer Science, Engineering, or related field. &middot; ISTQB or equivalent certification preferred. &middot; Minimum 8&ndash;10 years in QA with 5+ years in automation leadership roles.
</div>

AVP, Technical Lead (Automation) - TCOE.MGN Pak - TECH - Transformation Office.MIT - PAKCOE

<div>
 The transformation office is working on establishing Mashreq&rsquo;s Testing Center of Excellence (TCOE). It is a centralized testing framework within an organization that standardizes processes, tools, best practices, and governance. In a global bank like Mashreq, it acts as a quality assurance hub that provides strategy, tools, and resources across technology and business domains spanning retail, digital, corporate, investment banking, and regulatory areas. The purpose of the job is to augment TCOE process and artifacts, ensure their implementation on the project under test, creating test KPIs, metrics and dashboards and capturing them across Mashreq projects. The role must be self-directed and comfortable supporting the needs of multiple teams, systems, and products. The right candidate will be excited by the prospect of optimizing or even re-designing our company&rsquo;s testing practices, SOPs and architecture to support our next generation of products and Quality initiatives.
 
 
 Key Result Areas
 
 &middot; Define, standardize, and continuously improve QA processes, templates, and best practices across all projects. &middot; Ensure alignment with industry standards, regulatory requirements, and Mashreq&rsquo;s QA Policy. &middot; Promote automation, AI-driven testing, and innovative practices to enhance process efficiency and reliability. &middot; Establish and maintain governance frameworks to ensure QA activities comply with internal policies and external regulations. &middot; Conduct regular audits, reviews, and maturity assessments to evaluate process adherence and effectiveness. &middot; Identify process-related risks and implement mitigation and contingency strategies for critical QA activities. &middot; Define and track key QA KPIs (e.g., defect density, test coverage, cycle time) to measure process performance. &middot; Develop dashboards and reports to communicate insights and trends to stakeholders. &middot; Leverage historical data and predictive analytics to proactively identify quality risks and improvement opportunities. &middot; Collaborate with QA portfolio leads, developers, product managers, and business analysts to ensure process alignment. &middot; Facilitate cross-functional communication and resolve process-related conflicts to maintain consistency and quality. &middot; Integrate QA governance with enterprise architecture, risk, and compliance frameworks. &middot; Develop training materials and conduct workshops to educate teams on QA processes, governance, and tools. &middot; Mentor QA staff on process adoption, improvement techniques, and governance principles. &middot; Lead change management initiatives to drive adoption of new QA practices and reduce
 
 resistance. &middot; Evaluate and recommend tools that support process governance, automation, and reporting. &middot; Establish a central repository for QA assets, templates, best practices, and lessons learned to promote reuse and knowledge sharing. &middot; Define and maintain a QA maturity model to guide teams through progressive levels of process excellence. &middot; Benchmark QA practices against industry peers and lead continuous improvement initiatives to elevate organizational QA maturity.
 
 Operating Environment, Framework and Boundaries, Working Relationships
 
 &middot; Able to Effectively Plan &amp; Organize &middot; Strong Interpersonal Communication &middot; Assist others in the completion of their tasks to support the group goals &middot; Build and maintain cooperative work relationships with others
 
 Problem Solving
 
 &middot; Experienced in application designing, architecting, development and deployment of TCOE manifesto. Must be efficient in banking domain and know QA best practices. &middot; Strong testing design and implementation skills. Experienced in banking applicatioins. &middot; Feasibility Analysis- Analyze the requirements to define scope and evaluate technical feasibility.
 
 Decision Making Authority &amp; Responsibility
 
 &middot; Work on the right tasks by ensuring they know their top deliverables &middot; Assume personal responsibility for achieving outcomes
 
 Knowledge, Skills and Experience
 
 &middot; Over 15 years of experience in banking QA &middot; Bachelor's or master's degree in a quantitative discipline such as Computer Science, Engineering, or Economics. &middot; Experience in QA and QA leadership roles. &middot; Proficient in working with QA teams. &middot; Advanced skills in automation scripting, tagging conventions, and test case design. &middot; Strong command over defect lifecycle, severity categorization, defect aging, and defect removal efficiency (DRE). &middot; Handling test data provisioning, synthetic data generation, and environment setup. &middot; Hands-on experience with Azure DevOps, Jira, Confluence, SharePoint, and dashboard/reporting tools like Excel, Grafana, and Power BI. &middot; Proficiency in validating APIs for functionality, reliability, and security. &middot; Ability to define and track: Automation coverage, Execution metrics (plan vs actual), Defect density and leakage trends, Productivity benchmarks (e.g., test cases/day), Exit criteria automation &middot; Experience in building dashboards with auto-populated metrics and heat maps for defect and execution trends. &middot; Root cause analysis, risk identification, and mitigation planning. &middot; Effective stakeholder engagement, cross-functional coordination, and clear documentation. &middot; Leading triage calls, peer reviews, and coaching junior testers. &middot; Driving process optimization, standardization, and reuse of QA assets. &middot; Deliverables &amp; Responsibilities: QA Strategy Documents, Test Plan &amp; Exit Reports, Automation Strategy &amp; Execution Summary, Weekly Status Reports &amp; Dashboards, SOPs for QA processes
 
 &middot; Weekly, monthly and quarterly QA Audits and reporting
</div>

AVP, Central Process and Governance Lead - TCOE.MGN Pak - TECH - Transformation Office.MIT - PAKCOE

Global Business Shared Service

Key Responsibilities:1. Digital Strategy &amp; Roadmap<ul><li>Identify technology trends and evolving public sector digital governance frameworks relevant to SEDF</li></ul><ul><li>Develop and implement a comprehensive digital transformation strategy aligned with SEDF&rsquo;s objectives</li></ul>and Sindh Government&rsquo;s policies on economic development and digitalization2. Process Automation &amp; Optimization<ul><li>Lead the digitization of key processes, such as grant applications, SMEs funding disbursements, and performance tracking, M&amp;E systems, reduce manual intervention and improve transparency</li></ul><ul><li>Streamline workflows to enhance efficiency in SEDF&rsquo;s interactions with SMEs, government bodies, and partners</li></ul>3. Cybersecurity &amp; Data Governance<ul><li>Implement data protection, privacy, and cybersecurity measures in compliance with relevant public sector standards</li></ul><ul><li>Establish protocols for secure data storage, access, and disaster recovery</li></ul>4. Capacity Building &amp; Change Management<ul><li>Lead change management initiatives, training programs, and stakeholder engagement for smooth adoption of digital tools</li></ul><ul><li>Conduct training programs for SEDF staff and supported enterprises on digital tools, focusing on accessibility in Sindh&rsquo;s diverse regions</li></ul>5. Project Management &amp; Innovation<ul><li>Oversee digital transformation projects, ensuring timely delivery within budget and alignment with public sector procurement rules</li></ul>6. Stakeholder Engagement &amp; Reporting<ul><li>Liaise with Sindh Government IT department and private sector tech providers to secure partnerships</li></ul>and resources<ul><li>Prepare reports and dashboards to inform executive management and the Board on digital transformation progress</li></ul>Job Type: Contract Contract length: 24 monthsPay: Rs200,000.00 - Rs275,000.00 per monthWork Location: In person

Manager - IT Automation

Manager Digital Transformation

ibex. Pakistan

<div>
 
 
 Role Overview
 
 
 
 We are seeking an experienced
 
 Manager &ndash; Data Engineering
 
 to lead the design, automation, governance, and optimization of enterprise data pipelines and modern data warehouse solutions. The ideal candidate will have strong expertise in ETL modernization, Snowflake environments, data quality controls, vendor integrations, and stakeholder collaboration to support executive reporting and business intelligence.
 
 
 This role requires both
 
 hands-on technical capability
 
 and
 
 team leadership
 
 , ensuring scalable, reliable, and governed data ecosystems.
 
 
 
 Key Responsibilities
 
 
 
 
 1. Data Architecture &amp; ETL Modernization
 
 
 <ul>
 <li>
 Lead the transition from manual or legacy data processes to automated, scalable ETL frameworks.
 </li>
 <li>
 Design, build, and maintain robust ingestion pipelines using tools such as Informatica.
 </li>
 <li>
 Migrate and centralize transformation workflows to improve processing efficiency, scalability, and maintainability.
 </li>
 <li>
 Architect structured staging and transformation layers within Snowflake data warehouses.
 </li>
 </ul>
 
 
 2. Data Ingestion &amp; Integration
 
 
 <ul>
 <li>
 Manage end-to-end ingestion of financial and operational datasets from internal systems and vendor-hosted SFTP environments.
 </li>
 <li>
 Develop automated ingestion frameworks with post-load validation and structured data quality checks.
 </li>
 <li>
 Ensure reliable, secure, and governed data integration across multiple sources.
 </li>
 </ul>
 
 
 3. Data Quality, Governance &amp; Monitoring
 
 
 <ul>
 <li>
 Implement data validation frameworks, KPI monitoring, and anomaly detection mechanisms.
 </li>
 <li>
 Reduce vendor-related data incidents through proactive monitoring and root cause analysis.
 </li>
 <li>
 Establish best practices for data governance, documentation, and compliance.
 </li>
 <li>
 Maintain data integrity before downstream reporting and dashboard consumption.
 </li>
 </ul>
 
 
 4. Business Intelligence &amp; Stakeholder Collaboration
 
 
 <ul>
 <li>
 Partner with business stakeholders to ensure accurate executive reporting and evolving KPI alignment.
 </li>
 <li>
 Support and enhance Tableau dashboards by refining calculations, updating data models, and maintaining reporting logic.
 </li>
 <li>
 Act as the primary liaison between business users, vendors, and technical teams to resolve discrepancies and production issues.
 </li>
 </ul>
 
 
 5. Leadership &amp; Team Development
 
 
 <ul>
 <li>
 Mentor and guide data engineers on ETL best practices, automation, and data quality standards.
 </li>
 <li>
 Drive continuous improvement initiatives across data engineering processes.
 </li>
 <li>
 Promote scalable design patterns and performance optimization strategies.
 </li>
 </ul>
 
 
 Required Skills &amp; Experience
 
 
 <ul>
 <li>
 5+ years of experience in Data Engineering or related roles.
 </li>
 <li>
 Proven experience with:
 </li>
 <li>
 
 Snowflake
 
 data warehouse environments
 </li>
 <li>
 
 Informatica
 
 (or similar ETL tools)
 </li>
 <li>
 SQL (advanced querying &amp; performance optimization)
 </li>
 <li>
 Data modelling &amp; data warehousing concepts
 </li>
 <li>
 SFTP-based data integrations
 </li>
 <li>
 Experience migrating legacy transformation tools (e.g., Alteryx) to centralized ETL platforms.
 </li>
 <li>
 Strong understanding of data governance, validation frameworks, and quality controls.
 </li>
 <li>
 Experience supporting BI tools such as Tableau.
 </li>
 <li>
 Proficiency in Python for data processing and automation.
 </li>
 <li>
 Experience working with ERP and CRM data sources is preferred.
 </li>
 <li>
 Exposure to Databricks or modern data lake architectures is a plus.
 </li>
 </ul>
 
 
 Education
 
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Data Science, or related field (Master&rsquo;s preferred).
 </li>
 </ul>
 
 
</div>

Data Engineer

Systems Limited

<div>
 
 The Enterprise Architect &ndash; Data, AI &amp; Platforms is a senior leader within the Enterprise Architecture function, responsible for defining, governing, and evolving the organization&rsquo;s end‑to‑end technology architecture across data, AI/ML, platforms, and infrastructure. This role ensures that the enterprise technology landscape is modern, scalable, secure, cloud‑ready, and optimized to enable data‑driven decision-making, intelligent automation, and digital transformation. The Enterprise Architect partners with data teams, infrastructure, application development, security, and business domain architects to design an integrated technology ecosystem that accelerates value creation and supports enterprise strategic priorities.
 
 
 
 
 
 Responsibilities:
 
 <ul>
 <li>
 Define and maintain the enterprise target architecture across data, AI, platforms, and infrastructure, including principles, standards, patterns, and reference architectures.
 </li>
 <li>
 Establish architecture guardrails that promote data quality, AI readiness, platform automation, integration, standardization, and security by design.
 </li>
 <li>
 Lead the development of data and AI platform architecture, covering data lakes, data warehouses, real‑time streaming, ML platforms, and model lifecycle management.
 </li>
 <li>
 Drive modernization initiatives across cloud, hybrid, and on‑prem environments to support advanced analytics, AI workloads, and scalable digital platforms.
 </li>
 <li>
 Architect solutions that support large-scale analytics, ML training and inference, model deployment, and intelligent automation.
 </li>
 <li>
 Collaborate with data architects and engineers to ensure data platforms are highly available, resilient, governed, and optimized for performance and cost.
 </li>
 <li>
 Design platform capabilities that streamline DevOps, MLOps, DataOps, observability, and automation.
 </li>
 <li>
 Ensure technology decisions support regulatory compliance for data governance, security, privacy, and data residency.
 </li>
 <li>
 Lead the evolution of enterprise infrastructure to ensure it meets requirements for scalability, performance, AI compute, storage modernization, network reliability, and cybersecurity.
 </li>
 <li>
 Oversee the lifecycle of key platforms including virtualization, container platforms (e.g., OpenShift/Kubernetes), cloud services, storage, and enterprise databases.
 </li>
 <li>
 Guide the selection and implementation of infrastructure and cloud technologies that support AI acceleration, distributed computing, and modern data workloads.
 </li>
 <li>
 Develop strategies for capacity planning, business continuity, and disaster recovery for critical platforms.
 </li>
 <li>
 Partner with business and technology stakeholders to translate business outcomes into capable, scalable, and future-proof technology architectures.
 </li>
 <li>
 Lead cross-functional architecture reviews and ensure alignment with enterprise architecture roadmaps.
 </li>
 <li>
 Provide technical leadership and mentorship to architects, engineers, and project teams.
 </li>
 <li>
 Maintain comprehensive documentation including roadmaps, reference architecture, standards, and guidelines.
 </li>
 </ul>
 
 
 
 
 Requirements:
 
 <ul>
 <li>
 Bachelor&rsquo;s degree in Computer Science, Information Technology, or related field (or equivalent experience).
 </li>
 <li>
 15+ years in infrastructure, data, or platform engineering/operations, with 5&ndash;7 years in architecture leadership roles.
 </li>
 <li>
 Demonstrated experience defining enterprise-wide data, AI, platform, and infrastructure architectures in complex hybrid environments.
 </li>
 <li>
 Deep expertise in:
 </li>
 <li>
 Enterprise data platforms, data engineering, analytics platforms.
 </li>
 <li>
 AI/ML platforms, model lifecycle technologies, MLOps.
 </li>
 <li>
 Cloud architecture (Azure, OCI, AWS).
 </li>
 <li>
 Container platforms (Kubernetes, OpenShift).
 </li>
 <li>
 Compute, storage, networking, security, and virtualization technologies.
 </li>
 <li>
 Familiarity with infrastructure and platform solutions such as AIX, RHEL, Oracle Database, Dell EMC Storage, Pure Storage, Data Domain, Cisco, Palo Alto, Checkpoint.
 </li>
 <li>
 Experience with DevOps, Platform Engineering, DataOps, MLOps, and observability tools.
 </li>
 <li>
 Hands-on experience with Infrastructure-as-Code (IaC) and automation tools (Terraform, Ansible, Jenkins, etc.).
 </li>
 <li>
 Strong understanding of security architecture, cloud governance, and regulatory requirements.
 </li>
 <li>
 Proven ability to lead large-scale platform, data, or infrastructure transformation initiatives.
 </li>
 <li>
 Excellent communication, analytical thinking, and cross-functional leadership skills.
 </li>
 <li>
 Certifications in cloud, networking, infrastructure, or architecture frameworks (AWS, Azure, TOGAF) are a plus.
 </li>
 <li>
 Experience with ITIL, Agile, and modern delivery methodologies.
 </li>
 </ul>
 
 
</div>

Enterprise Architect - Data, AI & Platforms

ALLSTAR TECHNOLOGY

Job Title: Technical Marketing Manager Job Type: Full time, OnsiteAbout the Role: We are seeking a results-driven Tech Marketing Manager to lead and execute marketing strategies that drive brand awareness, lead generation, and revenue growth. The ideal candidate understands the technology landscape, can translate complex technical solutions into clear value propositions, and has experience marketing IT services or software products.Key Responsibilities:<ul><li>Develop and execute comprehensive marketing strategies aligned with business goals.</li><li>Plan and manage digital campaigns (SEO, SEM, social media, email, and paid ads).</li><li>Create compelling content including case studies, blogs, whitepapers, and product messaging.</li><li>Collaborate with sales to generate qualified leads and improve conversion rates.</li><li>Conduct market research, competitor analysis, and identify growth opportunities.</li><li>Manage brand positioning and ensure consistent messaging across all channels.</li><li>Track, analyze, and report on campaign performance using relevant tools.</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Marketing, Business, or related field.</li><li>3&ndash;4 years of experience in marketing within a tech company or software house.</li><li>Strong understanding of B2B marketing strategies and lead generation funnels.</li><li>Experience with marketing automation tools and CRM systems.</li><li>Excellent communication and analytical skills.</li><li>Ability to manage multiple projects and meet deadlines.</li></ul>Preferred Skills:<ul><li>Experience in SaaS or IT services marketing.</li><li>Knowledge of performance marketing and growth strategies.</li><li>Basic understanding of technical concepts (software development, cloud, AI, etc.).</li></ul>Job Type: Full-timeWork Location: In person

Technical Marketing Manager

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