data analyst

data engineer

manager data & analytics

architect

data & reporting analyst

data ai architect

VentureDive

<div>Job Brief 
We are seeking a highly skilled Data &amp; AI Architect to design and implement scalable, secure, and high-performance data and AI architectures across cloud and hybrid environments. The ideal candidate will have deep expertise in data engineering, machine learning, and AI solution design, with experience leveraging cloud-native and open-source technologies to deliver intelligent, data-driven solutions. This role demands strong technical leadership, architectural vision, and the ability to translate complex business requirements into cohesive Data &amp; AI ecosystems that support analytics, automation, and innovation. 
 
VentureDive Overview 
Founded in 2012 by veteran technology entrepreneurs from MIT and Stanford, VentureDive is the fastest-growing technology company in the region that develops and invests in products and solutions that simplify and improve the lives of people worldwide. We aspire to create a technology organization and an entrepreneurial ecosystem in the region that is recognized as second to none in the world. 
 
Key Responsibilities:<ul><li>
Architect, design, and implement end-to-end Data &amp; AI solutions across cloud, on-premises, or hybrid environments.</li><li>
Build Data ingestion, transformation, and storage pipelines for structured, semi-structured, and unstructured data sources.</li><li>
Design and implement AI/ML pipelines, including feature Agentic applications engineering, model training, deployment, and monitoring.</li><li>
Leverage modern Data and AI platforms (e.g., Databricks, Snowflake, BigQuery, Redshift, Synapse, Vertex AI, SageMaker, or Azure ML) to enable advanced analytics and predictive modeling.</li><li>
Collaborate with stakeholders to define Data and AI strategy, architecture blueprints, and technology roadmaps.</li><li>
Integrate ML models and AI services (e.g., generative AI, NLP, computer vision) into business workflows and enterprise applications.</li><li>
Implement data governance, model governance, and Responsible AI frameworks to ensure compliance, transparency, and ethical AI usage.</li><li>
Optimize pipelines and workflows for performance, scalability, and cost-efficiency.</li><li>
Partner with engineering and DevOps teams to establish MLOps and DataOps practices for continuous integration and deployment of models.</li><li>
Produce high-quality architecture documentation, data flow diagrams, and solution blueprints.</li><li>
Mentor engineers and data scientists, promoting best practices in data engineering, AI architecture, and cloud-native design.</li><li>
Stay current with emerging AI, LLM, and data technologies to evaluate their potential in enterprise and government use cases.</li></ul> 

Required Experience &amp; Qualification:<ul><li>
10+ years of experience in data engineering, data architecture, or AI solution design.</li><li>
Strong hands-on experience with data platform technologies, such as:</li><li>
Data pipelines: Apache Spark, Airflow, dbt, Kafka, Flink, or similar.</li><li>
Data storage: Data lakes, warehouses, and lakehouses (e.g., Snowflake, Delta Lake, BigQuery, Redshift, Synapse).</li><li>
AI/ML platforms: TensorFlow, PyTorch, scikit-learn, MLflow, or cloud ML platforms (Azure ML, SageMaker, Vertex AI).</li><li>
Proven experience building and deploying machine learning models at scale (batch, streaming, or real-time).</li><li>
Deep understanding of data lakehouse and data mesh architectures.</li><li>
Experience implementing governance, lineage, and security frameworks for data and AI systems.</li><li>
Strong communication and stakeholder management skills, with the ability to explain architectural concepts to diverse audiences.</li><li>
Demonstrated ability to balance innovation, scalability, and cost optimization in complex ecosystems.</li></ul> 

Preferred Skills:<ul><li>
Knowledge of Generative AI, LLMs, vector databases, and embedding-based retrieval (e.g., RAG architectures).</li><li>
Experience with MLOps tools (MLflow, Kubeflow, Vertex Pipelines, or Azure ML pipelines).</li><li>
Familiarity with DataOps and CI/CD practices for data and AI workflows.</li><li>
Integration of AI insights into BI or visualization tools (e.g., Power BI, Tableau, Looker).</li><li>
Exposure to real-time AI applications, including anomaly detection, predictive maintenance, or conversational AI.</li><li>
Experience leading data and AI modernization initiatives or enterprise AI strategy projects.</li><li>
Understanding of governance and compliance frameworks (GDPR, ISO 27001, NIST, or sector-specific standards).</li></ul> 
What we look for beyond required skills 
In order to thrive at VentureDive, you 
&hellip;are intellectually smart and curious 
&hellip;have the passion for and take pride in your work 
&hellip;deeply believe in VentureDive&rsquo;s mission, vision, and values 
&hellip;have a no-frills attitude 
&hellip;are a collaborative team player 
&hellip;are ethical and honest 
 
Are you ready to put your ideas into products and solutions that will be used by millions? 
You will find VentureDive to be a quick pace, high standards, fun and a rewarding place to work at. Not only will your work reach millions of users world-wide, you will also be rewarded with competitive salaries and benefits. If you think you have what it takes to be a VenDian, come join us ... we're having a ball! 
 
#LI-Hybrid
lSXDsfMqSd</div>

Data & AI Architect

SOC Solutions LLC

Hiring: Senior DevOps Engineer / Solution ArchitectLocation: Karachi (On-site) Timing: 11 AM &ndash; 8 PM (Mon&ndash;Fri)We&rsquo;re looking for a Senior DevOps Engineer who thinks like a Solution Architect &mdash; someone who can design, build, and optimize cloud infrastructure that scales.You&rsquo;ll be working with fast-moving startups and enterprise clients across the globe, designing solutions that power AI, blockchain, and SaaS platforms.Responsibilities<ul><li>Architect and implement cloud infrastructure (AWS, GCP, Azure).</li><li>Set up CI/CD pipelines for multi-environment deployments.</li><li>Design scalable microservices and containerized environments (Docker, Kubernetes).</li><li>Optimize infrastructure cost, performance, and security.</li><li>Manage IaC using Terraform, CloudFormation, or equivalent tools.</li><li>Collaborate with developers to improve system reliability and speed.</li><li>Lead architecture decisions for new projects.</li></ul>Requirements<ul><li>5+ years of DevOps / Cloud Infrastructure experience.</li><li>Deep understanding of Docker, Kubernetes, and CI/CD (GitHub Actions, Jenkins, etc.).</li><li>Proven experience with AWS, GCP, or Azure architecture.</li><li>Strong scripting skills (Bash, Python, etc.).</li><li>Hands-on experience with Terraform or IaC tools.</li><li>Ability to communicate and document architecture clearly.</li><li>Leadership mindset with ownership over delivery and scalability.</li></ul>Bonus Points<ul><li>Experience working with startups or software agencies.</li><li>Exposure to AI/ML, Blockchain, or complex SaaS systems.</li><li>Comfortable mentoring junior engineers.</li></ul>Perks<ul><li>Competitive salary (based on experience).</li><li>Global exposure with U.S./EU startup projects.</li><li>Growth-oriented, high-performance culture.</li><li>Opportunity to move into Cloud Solution Architect role.</li></ul>Job Type: Full-timeApplication Question(s):<ul><li>What is your expected Salary for the Role?</li><li>What is your current/last salary?</li><li>How long is your current employer's Notice Period?</li></ul>Experience:<ul><li>Clouds: 5 years (Required)</li><li>DevOps: 5 years (Required)</li><li>Amazon AWS: 5 years (Required)</li></ul>Work Location: In person

Senior DevOps Engineer

Horizon Tech

We are looking for a skilled Data Engineer to design, build, and optimise our modern data platform on the cloud. You'll be responsible for architecting scalable, secure, and automated data pipelines and enabling data-driven applications and AI/ML solutions across the organisation.This is an exciting opportunity to shape the data foundation of a growing business, leveraging a modern AWS and engineering ecosystem.Must Haves:<ul><li>3-5 years of experience in data engineering or a similar role working with large-scale, distributed data systems.</li><li>Strong proficiency in Python, SQL, and data modelling for analytical and transactional systems.</li><li>Deep understanding of modern AWS data and analytics services (e.g., S3, Glue, Lambda, Redshift, or equivalents).</li><li>Experience with Apache Spark / PySpark for batch and stream processing.</li><li>Solid knowledge of data governance, security, and compliance frameworks.</li><li>Familiarity with Infrastructure as Code (Terraform, CloudFormation) and CI/CD practices.</li><li>Understanding of AI/ML data workflows, including feature engineering and data preparation for LLMs or predictive models.</li><li>Strong problem-solving, collaboration, and communication skills.</li></ul>Preferred (Nice to Have)<ul><li>Knowledge of containerization (Docker, ECS, EKS) or serverless data architectures.</li><li>Understanding of AI/ML and NLP technologies, including integration of LLMs, automation frameworks, and RPA tools for intelligent data workflows.</li><li>Awareness of MLOps pipelines, model monitoring, and feature store management.</li></ul>Responsibilities:<ul><li>Design, build, and maintain large-scale, distributed, and event-driven data pipelines using modern AWS Data Engineering services (e.g., Glue, Lambda, Step Functions, etc.).</li><li>Develop ETL/ELT workflows integrating structured and unstructured data into Snowflake, Redshift, and S3-based data lakes.</li><li>Architect and optimise data ingestion, transformation, and storage layers for structured and unstructured data in a data lake or warehouse environment.</li><li>Implement and enforce data security, governance, and access controlincluding encryption, IAM, auditing, and compliance with best practices.</li><li>Develop and maintain metadata management, data lineage, and cataloguing frameworks to ensure traceability and consistency across datasets.</li><li>Automate infrastructure provisioning using Infrastructure-as-Code (IaC) tools such as Terraform or AWS CloudFormation.</li><li>Collaborate with analytics and AI/ML teams to deliver clean, high-quality, and feature-ready data for training and inference pipelines.</li><li>Integrate observability and monitoring into data workflows to ensure reliability, performance, and cost efficiency.</li><li>Contribute to CI/CD pipelines and Git-based version control for data workflows and infrastructure changes.</li><li>Mentor junior engineers and champion engineering best practices for data quality, reliability, and scalability.</li></ul>Other Details<ul><li>Work Days: Monday-Friday (3 pm - 12 am)</li><li>Office location: Off to Shahrah-e-Faisal, PECHS, Karachi</li></ul>Job Type: Full-timePay: Rs150,000.00 - Rs250,000.00 per monthApplication Question(s):<ul><li>What is your expected salary?</li></ul>Education:<ul><li>Bachelor's (Required)</li></ul>Experience:<ul><li>data engineering with large-scale data systems: 3 years (Required)</li><li>Python, SQL and modern AWS data and analytics services: 3 years (Required)</li><li>ETL/ELT workflows : 3 years (Required)</li></ul>Location:<ul><li>Karachi (Required)</li></ul>Work Location: In person

Data Engineer

NorthBay Solutions

<div><h3 class="jobSectionHeader">Lead GenAI Engineer (Application Development)</h3>
Experience: 7&ndash;12+ years 
Location: Hybrid (Lahore / Karachi / Islamabad &ndash; Pakistan) 
Employment Type: Full-time<h4 class="jobSectionHeader">
About the Role</h4>
NorthBay Solutions is seeking a Lead GenAI Engineer (Application Development) with a strong foundation in AI/ML, GenAI solution design, and end-to-end application development. The ideal candidate will have a proven track record of developing and deploying enterprise-scale GenAI applications across cloud and hybrid environments, while leading cross-functional engineering teams in Agile settings.<h4 class="jobSectionHeader">
Core Responsibilities</h4><ul><li>
Design and implement AI-powered enterprise-grade applications, integrating traditional systems with AI/ML and GenAI capabilities.</li><li>
Lead a team of 8&ndash;12 engineers across full-stack, DevOps, and AI/ML disciplines.</li><li>
Drive technical decision-making across infrastructure, microservices, APIs, and AI components.</li><li>
Architect and deliver production-ready GenAI applications, ensuring scalability, reliability, and performance.</li><li>
Collaborate with product and business teams to translate complex requirements into actionable AI-driven solutions.</li></ul><h4 class="jobSectionHeader">
Technical Requirements</h4>
GenAI Leadership (3+ Years) &ndash; Primary<ul><li>
Proven experience in developing and deploying GenAI applications in production.</li><li>
Expertise in LLMs (LLAMA, Mistral, GPT, etc.), including fine-tuning, optimization, and deployment.</li><li>
Hands-on experience with Agentic AI, Multi-Agent Systems, and Agentic RAG implementations.</li><li>
Proficiency in Vector Databases, LangChain, LangGraph, and related toolchains.</li><li>
Strong prompt engineering and Chain-of-Thought optimization capabilities.</li></ul>
AI/ML Foundation (4&ndash;5 Years)<ul><li>
Hands-on Python, TensorFlow, PyTorch experience for building ML models and AI pipelines.</li><li>
Expertise in the AI/ML model lifecycle &mdash; from development and deployment to monitoring.</li><li>
Experience integrating AI/ML solutions into enterprise-grade web or mobile applications.</li></ul>
Application Development &amp; Architecture (7+ Years)<ul><li>
Strong background in full-stack development (MERN or equivalent stack).</li><li>
Proven ability to deliver end-to-end applications integrating AI/ML and GenAI capabilities.</li><li>
Proficiency in API development (REST, GraphQL) and microservices architecture.</li><li>
Experience deploying solutions across on-premises, cloud, and hybrid environments.</li><li>
Kubernetes for container orchestration and deployment management.</li><li>
Database experience in SQL (PostgreSQL/MySQL) and NoSQL (MongoDB/DynamoDB).</li><li>
Familiarity with DevOps tools: Docker, CI/CD pipelines, and infrastructure automation.</li></ul>
Cloud &amp; Infrastructure<ul><li>
Hands-on experience with AWS/Azure/GCP cloud environments and ML services.</li><li>
Experience with AWS SageMaker, Bedrock, Lambda, API Gateway, or equivalents.</li><li>
Understanding of hybrid architecture design integrating AI/ML systems.</li></ul><h4 class="jobSectionHeader">
Proven Delivery</h4><ul><li>
Successful delivery of 7+ enterprise or AI/ML-driven applications.</li><li>
Demonstrated leadership experience managing cross-functional technical teams.</li><li>
Ability to deliver high-quality, scalable, and secure solutions under tight timelines.</li></ul><h4 class="jobSectionHeader">
Preferred Qualifications</h4><ul><li>
Cloud certifications (AWS/Azure/GCP &ndash; Solutions Architect / ML Specialty preferred).</li><li>
Excellent communication and leadership skills, capable of bridging business and technology.</li><li>
Experience working in Agile/Scrum environments with measurable performance outcomes.</li></ul><h4 class="jobSectionHeader">
Ideal Candidate</h4>
A hands-on leader with strong expertise in GenAI application development, solid understanding of AI/ML, and a proven background in enterprise software engineering and deployment across cloud and hybrid infrastructures.
TKy0yLI6H2</div>

Lead GenAI Engineer (Application Development)

digital.enterprises

<div>
 AI Engineer Build the Real-Time Intelligence of ADAPT
 
 
 
 About Digital.enterprises
 
 
 
 digital.enterprises is shaping the future of the energy sector. We help companies run smarter integrating people, data, and technology to create intelligent, adaptive, and human-centred operations. Based in Doha, the gas capital of the world, we fuse deep industry expertise with cutting-edge digital thinking to transform how energy companies work, connect, and grow. If youre driven by impact, speed, and purpose not titles or bureaucracy youll fit right in.
 
 
 
 About ADAPT
 
 
 
 ADAPT is our flagship platform a real-time digital mesh connecting the energy sectors Maintenance, Repair &amp; Operations (MRO) ecosystem. Instead of long procurement cycles, ADAPT matches buyer demand with supplier capability instantly, using live data and AI to surface qualified options with governance, auditability, and human-in-the-loop controls.
 
 
 
 About The Role
 
 
 
 Were seeking an experienced AI Engineer to architect and implement the intelligent layer powering ADAPT. Youll build production-grade LLM applications that disintermediate RFQs through real-time matching, provide real-time decision support, and deliver actionable insights to both buyers and suppliers. This role requires deep technical expertise in modern AI frameworks, enterprise-grade system design, and the ability to translate complex business requirements into reliable AI solutions.
 
 
 Key Responsibilities
 
 
 AI Application Development
 
 
 <ul>
 <li>
 Design and deploy production LLM applications (LangChain/LangGraph) for supplier matching, requirement extraction, and automated workflow orchestration.
 </li>
 <li>
 Implement sophisticated tool/function calling to integrate LLMs with external systems (inventory databases, ERPs, communications platforms).
 </li>
 <li>
 Build robust context and memory systems for multi-turn conversations and long-running industrial processes.
 </li>
 <li>
 Develop intelligent agents for supplier evaluation, alternative proposals, and emergency response scenarios.
 
 
 
 </li>
 </ul>
 System Architecture &amp; Optimisation
 
 
 <ul>
 <li>
 Write clean, maintainable code following established patterns and best practice.
 </li>
 <li>
 Optimise inference pipelines for latency, cost, and accuracy in high-stakes environments.
 </li>
 <li>
 Design scalable architectures for concurrent users across maintenance, procurement, and supplier teams.
 </li>
 <li>
 Implement caching, batching, and performance optimisations for enterprise-scale deployments.
 
 
 
 </li>
 </ul>
 AI Quality &amp; Reliability
 
 
 <ul>
 <li>
 Develop comprehensive evaluation frameworks (AI evals) to measure accuracy, relevance, and business impact.
 </li>
 <li>
 Design and execute fine-tuning strategies for domain-specific models (MRO terminology, supplier capability, part specifications).
 </li>
 <li>
 Explore and implement RL-based agents for dynamic supplier analysis where beneficial.
 </li>
 <li>
 Create sophisticated prompt engineering solutions that balance specificity and flexibility.
 
 
 
 </li>
 </ul>
 Security &amp; Compliance
 
 
 <ul>
 <li>
 Implement security best practice for sensitive procurement data, supplier information, and commercial terms.
 </li>
 <li>
 Ensure compliance with data protection regulations and industry standards (ISO, API standards, etc.).
 </li>
 <li>
 Design audit trails and logging for AI-assisted decisions in regulated environments.
 </li>
 <li>
 Build safeguards against prompt injection, data leakage, and other AI-specific vulnerabilities.
 
 
 
 </li>
 </ul>
 Domain Integration
 
 
 <ul>
 <li>
 Collaborate with domain experts to understand oil &amp; gas MRO workflows, terminology, and critical requirements.
 </li>
 <li>
 Travel to client sites, supplier locations, and operational facilities to understand real-world constraints.
 </li>
 <li>
 Translate operational requirements into technical specifications and AI capabilities.
 </li>
 <li>
 Provide technical guidance during customer implementations and onboarding.
 
 
 
 </li>
 </ul>
 
 Required Qualifications
 
 
 
 Experience &amp; Background
 
 
 <ul>
 <li>
 5+ years of professional software engineering experience in enterprise environments.
 </li>
 <li>
 Hands-on experience delivering working AI applications in production or advanced pilot environments.
 </li>
 <li>
 Experience working in regulated or sensitive-data settings.
 
 
 
 </li>
 </ul>
 Technical Expertise
 
 
 LLM Frameworks &amp; Foundation Models
 
 
 <ul>
 <li>
 Deep expertise building complex agent workflows.
 </li>
 <li>
 Hands-on with major LLMs (OpenAI, Anthropic, open-source) including API integration and optimisation.
 
 
 
 </li>
 </ul>
 Advanced AI Patterns
 
 
 <ul>
 <li>
 Function/tool calling and external system integration.
 </li>
 <li>
 Context-window management and retrieval strategies.
 </li>
 <li>
 Memory systems for stateful conversations and long-running processes.
 
 
 
 </li>
 </ul>
 AI Engineering
 
 
 <ul>
 <li>
 Building evaluation frameworks and metrics for LLM applications.
 </li>
 <li>
 Fine-tuning for domain-specific use cases.
 </li>
 <li>
 Experimenting with RL-based agents where impactful.
 </li>
 <li>
 Advanced prompt engineering and optimisation.
 
 
 
 </li>
 </ul>
 Software Engineering
 
 
 <ul>
 <li>
 Clean-code principles and SOLID design patterns.
 </li>
 <li>
 Performance optimisation and scalability.
 </li>
 <li>
 Version control (Git) and CI/CD pipelines.
 </li>
 <li>
 Testing strategies for AI systems (unit, integration, end-to-end).
 </li>
 <li>
 Security best practice, data protection, and compliance awareness.
 
 
 
 </li>
 </ul>
 Soft Skills
 
 
 <ul>
 <li>
 Communication: explain complex AI concepts to non-technical stakeholders; write clear documentation; collaborate across teams.
 </li>
 <li>
 Travel: willingness and ability to travel to operational sites, client facilities, and partner locations (mandatory).
 </li>
 <li>
 Problem-solving: strong analytical thinking; break down complex business problems into implementable AI solutions.
 
 
 
 </li>
 </ul>
 
 Preferred
 
 
 
 <ul>
 <li>
 Domain knowledge in oil &amp; gas operations, supply chain, or industrial procurement.
 </li>
 <li>
 Experience with MRO/EAM/supply chain software.
 </li>
 <li>
 Familiarity with industry-specific standards and terminology.
 </li>
 <li>
 Background in traditional ML/data science beyond LLMs.
 </li>
 <li>
 Experience with vector databases, semantic search, and RAG architectures.
 
 
 
 </li>
 </ul>
 Why Join Us
 
 
 At digital.enterprises, AI is a partner to people, not a replacement. This is Industry 5.0 in practice: technology amplifying human capability so energy operations become safer, more reliable, and more efficient delivering secure, affordable, cleaner energy at scale. Youll join a mission-driven team led by credible industry leadership with the freedom to build technology that genuinely changes how an industry works.
</div>

AI Engineer

Location: Karachi, Pakistan (On-site) Timing: 11 AM &ndash; 8 PM (Mon&ndash;Fri) Company: Botmer InternationalWe&rsquo;re looking for an experienced Principal Software Engineer (Clouds) to lead cloud architecture, infrastructure automation, and large-scale deployment systems across our AI-driven software products.Responsibilities<ul><li>Architect and maintain scalable cloud infrastructure (AWS, GCP, or Azure)</li><li>Lead and mentor a team of senior engineers</li><li>Design CI/CD pipelines, monitoring, and disaster recovery solutions</li><li>Ensure cloud cost optimization and performance efficiency</li><li>Collaborate closely with AI and full-stack teams on system integration</li></ul>Requirements<ul><li>8+ years of software engineering experience, with at least 3+ years in cloud-focused roles</li><li>Strong command of AWS, Docker, Kubernetes, Terraform, and CI/CD tools</li><li>Proficient in backend programming (Python, Node.js, or Go)</li><li>Experience with microservices, APIs, and security best practices</li><li>Leadership experience managing or mentoring technical teams</li></ul>Perks<ul><li>Competitive market salary</li><li>Collaborative and fast-paced startup culture</li><li>Opportunity to work on cutting-edge AI and automation projects</li></ul>Job Type: Full-timePay: Rs350,000.00 - Rs500,000.00 per monthApplication Question(s):<ul><li>What is your expected Salary for this Role?</li></ul>Experience:<ul><li>Software Development: 5 years (Required)</li><li>DevOps: 5 years (Required)</li></ul>Work Location: In person

Principal Software Engineer

Royal Signs & Awnings

Director of Digital Marketing | U.S shift | 8am - 5pm Houston Time | Work from Office | Minimum 8 years of experience.Company: Royal Signs &amp; Awnings Location: Karachi (On-Site)Job Type: Full-Time Experience: 8-10+ years in digital marketing with proven leadershipPosition Overview:We are seeking a visionary and analytically rigorous Director of Digital Marketing to own and scale our entire digital customer acquisition and engagement strategy. This role is the cornerstone of our growth engine. You will be responsible for the strategy, execution, and optimization of all digital marketing channels, with a relentless focus on ROI and scaling our online presence. The ideal candidate is an expert in SEO, GEO, PPC, and Social Media, with deep experience in marketing technology data analytics and AIKey Responsibilities:1. Digital Strategy &amp; Growth:<ul><li>Develop and execute a comprehensive, multi-channel digital marketing strategy focused on customer acquisition, conversion, and retention.</li><li>Own the digital marketing budget, allocating resources for maximum growth and efficiency across all paid, owned, and earned channels.</li><li>Define and track KPIs for all digital initiatives, reporting regularly on funnel performance, CAC, LTV, and ROI to the executive team.</li></ul>2. Channel Expertise &amp; Management:<ul><li>SEO (Organic Growth): Architect and oversee the technical SEO, content strategy, and link-building efforts to achieve dominant organic search visibility and drive sustainable, cost-free traffic.</li><li>PPC (Paid Growth): Lead the strategy for all paid search (Google Ads, Microsoft Advertising), programmatic display, and paid social campaigns (Meta, TikTok, LinkedIn, etc.), continuously optimizing for lower CPA and higher ROAS.</li><li>Social Media &amp; Community: Develop the strategy for both organic community building and paid social amplification to enhance brand loyalty and drive direct response.</li><li>Emerging Channels: Evaluate and test new digital platforms and technologies (e.g., Affiliate Marketing, Marketing Automation) to stay ahead of the curve.</li></ul>3. Marketing Technology &amp; Data Analysis:<ul><li>Serve as the super-user and administrator of key marketing technology (MarTech) stack, including CRM (e.g., HubSpot, Salesforce), analytics platforms (Google Analytics 4), and tag management systems.</li><li>Implement robust tracking and attribution models to accurately measure campaign performance across the entire customer journey.</li><li>Use data insights to conduct A/B tests, funnel analysis, and customer segmentation to drive continuous improvement.</li></ul>4. Team Leadership &amp; Development:<ul><li>Build, mentor, and lead a high-performing team of digital marketing specialists (SEO, PPC, Social Media, Content).</li><li>Foster a culture of testing, data-driven decision-making, and agile execution.</li></ul>5. GEO (Generative Engine Optimization) &amp; AI Visibility:<ul><li>Develop and execute a strategy for Generative Engine Optimization (GEO) to ensure our brand is prominently featured in AI-generated responses on platforms like ChatGPT, Google Gemini, and Microsoft Copilot.</li><li>Optimize our digital assets and content to become a cited source for AI, focusing on providing clear, authoritative, and direct answers to common industry queries.</li><li>Build E-E-A-T (Experience, Expertise, Authoritativeness, Trustworthiness) signals to increase our visibility and citation rate in generative AI results.</li></ul>Qualifications &amp; Experience:<ul><li>Bachelor&rsquo;s/Master&rsquo;s degree in Marketing, Business, or a related field.</li><li>8-10 years of hands-on experience in digital marketing, with at least 4 years in a leadership role directly managing a digital team.</li><li>Required Technical Proficiency:</li><li>SEO: Expert-level knowledge demonstrated by a portfolio of successful organic growth projects. Proficiency with Ahrefs, SEMrush, or similar.</li><li>PPC: Certified expertise in Google Ads and Meta Blueprint, with a proven history of managing large-scale campaigns.</li><li>Analytics: Deep fluency in Google Analytics 4 and data visualization tools. Ability to build dashboards and derive actionable insights.</li><li>Social Media: Mastery of the paid and organic ecosystems of major platforms relevant to our business.</li><li>GEO: Proven experience in optimizing content and online presence to improve visibility and citation rates within AI platforms like ChatGPT and Google Gemini.</li><li>Experience with marketing automation and CRM platforms is highly desirable.</li><li>Exceptional analytical, communication, and project management skills.</li></ul>What We Offer:<ul><li>A significant performance-linked bonus tied directly to growth metrics.</li><li>A leadership role as the digital growth owner for a prominent company.</li></ul>Job Type: Full-timePay: Rs80,000.00 - Rs400,000.00 per monthWork Location: In person

Director of Digital Marketing

Explore 1165+ Data ai architect in Karachi this November. Find roles across top companies and apply now to boost your career.