business development executive Jobs in Lahore

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business development manager

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sales development representative

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business development internship

ai business development growth analyst

Charcoal

Key Responsibilities:<ul><li>Identify and develop new business opportunities in AI-driven markets</li><li>Conduct market research and competitor analysis to support growth strategies</li><li>Generate leads and manage the sales pipeline</li><li>Collaborate with internal teams to align business goals with AI solutions</li><li>Analyze data to identify trends, opportunities, and performance gaps</li><li>Support proposal development, presentations, and client pitches</li><li>Build and maintain relationships with potential clients and partners</li><li>Track and report key performance metrics related to growth initiatives</li></ul>Requirements:<ul><li>Bachelor&rsquo;s degree in Business, Marketing, Data Analytics, or a related field</li><li>Basic understanding of AI, data analytics, and digital transformation</li><li>Strong analytical and problem-solving skills</li><li>Excellent communication and presentation abilities</li><li>Proficiency in Microsoft Excel and reporting tools</li><li>Ability to work in a fast-paced and target-driven environment</li></ul>Timings: 01 pm-10pmPay: Rs150,000.00 - Rs200,000.00 per monthWork Location: In person

AI Business Development & Growth Analyst

Phaedra Solutions

Location: Lahore (On-site)Experience: 10 YearsEmployment Type: Full-timeOpen Positions: 1SummaryWe are seeking an experienced Senior Business Analyst with strong expertise in pre-sales, client engagement, and solution collaboration within the technology services industry. The ideal candidate has worked closely with Solution Architects to translate business needs into structured technical documentation and solution blueprints.You will play a pivotal role in bridging business objectives with technical execution&mdash;ensuring solutions are feasible, scalable, and aligned with client expectations. Candidates familiar with AI-driven business tools, automation platforms, and data-driven decision-making will be preferred, as the company continues to integrate AI-assisted workflows across its operations.Key ResponsibilitiesPre-Sales Support &amp; Solution Collaboration<ul><li>Partner with the Solution Architect and Sales teams to understand client goals, technical requirements, and project scope.</li></ul><ul><li>Support the preparation of technical proposals, project estimates, and SOWs, ensuring clarity and alignment with client needs.</li></ul><ul><li>Conduct discovery sessions, stakeholder interviews, and requirement-gathering workshops to identify pain points and business opportunities.</li></ul><ul><li>Collaborate with cross-functional teams to design value-driven solutions and roadmaps.</li></ul><ul><li>Contribute to AI-enhanced proposal creation and client analysis using automation or intelligent research tools.</li></ul><ul><li>Assist in preparing RFP/RFI responses, case studies, and pre-sales decks in coordination with marketing and delivery teams.</li></ul>Business Analysis &amp; Documentation<ul><li>Develop detailed business requirement documents (BRDs), functional specifications (FRDs), user stories, and workflow diagrams.</li></ul><ul><li>Validate requirements through continuous stakeholder feedback and ensure technical feasibility with Solution Architects.</li></ul><ul><li>Maintain version-controlled documentation and ensure traceability across all project phases.</li></ul><ul><li>Use AI-based tools for data analysis, process optimization, and documentation quality improvement.</li></ul>Stakeholder &amp; Client Engagement<ul><li>Serve as the key liaison between clients, delivery, and technical teams, ensuring transparency and consistency in communication.</li></ul><ul><li>Present findings, insights, and proposed solutions to both technical and non-technical audiences.</li></ul><ul><li>Build long-term relationships through consultative communication, business acumen, and reliability.</li></ul><ul><li>Process Improvement &amp; Innovation</li></ul><ul><li>Identify opportunities to enhance internal pre-sales and documentation workflows through AI automation and analytics tools.</li></ul><ul><li>Recommend new technologies or process improvements to strengthen solution delivery.</li></ul><ul><li>Stay informed about AI trends, digital transformation practices, and evolving client needs to inform solution discussions.</li></ul>Qualifications<ul><li>Bachelor&rsquo;s or Master&rsquo;s degree in Computer Science, Business Administration, Information Technology, or a related field.</li></ul><ul><li>Strong understanding of software development lifecycles (SDLC), Agile methodologies, and solution design principles.</li></ul><ul><li>Proven experience working with or alongside Solution Architects on technical discovery and pre-sales documentation.</li></ul><ul><li>Exposure to or proficiency in AI tools (e.g., ChatGPT, Jasper, Notion AI, ClickUp AI, or similar) for research, analysis, and workflow optimization.</li></ul><ul><li>Exceptional analytical, documentation, and communication skills.</li></ul>Skills<ul><li>Strong expertise in business analysis, pre-sales documentation, and client scoping.</li></ul><ul><li>Proficiency in JIRA, Confluence, Figma, Miro, or similar collaboration tools.</li></ul><ul><li>Familiarity with AI-driven productivity tools for research, document generation, and data visualization.</li></ul><ul><li>Solid grasp of solution design fundamentals (APIs, integrations, cloud platforms).</li></ul><ul><li>Excellent presentation, negotiation, and client management skills.</li></ul><ul><li>Strong problem-solving, multitasking, and cross-functional collaboration abilities.</li></ul>Experience<ul><li>10 years of professional experience as a Business Analyst, preferably in IT services, with significant exposure to pre-sales and collaboration with Solution Architects.</li><li>Experience in integrating AI or automation tools into analysis or documentation processes will be an added advantage.</li></ul>Why Join Us<ul><li>Collaborate closely with Solution Architects, Sales Leaders, and Technical Experts on global projects.</li></ul><ul><li>Be part of a forward-thinking organization embracing AI-powered workflows and innovation.</li></ul><ul><li>Work on diverse, high-impact projects across multiple industries.</li></ul><ul><li>Join a collaborative, people-first culture that values ownership, learning, and professional growth.</li></ul><ul><li>Competitive salary package and performance-based career advancement.</li></ul>Work Location: In person

Senior Business Analyst

Human Capital HR Solutions

Business Development Manager &ndash; AI Visibility &amp; GEOLocation: Lahore, Pakistan (Global Operations Hub)Human Capital HR Solutions is hiring for a US-based client! We&rsquo;re looking for a high-energy, results-driven Business Development Manager to lead Market Dominance initiatives for North American service businesses. This role focuses on helping companies thrive in the AI-driven era, guiding US-based CEOs from traditional search strategies to visibility on platforms like ChatGPT, Gemini, and Perplexity.Key Responsibilities:<ul><li>Lead executive-level outreach to US service businesses</li><li>Deliver clear, no-jargon AI strategy pitches</li><li>Close high-value deals on first calls</li><li>Drive pipeline growth through structured KPIs</li><li>Stay ahead of AI search trends and market shifts</li></ul>Qualification &amp; Experience:<ul><li>Bachelor&rsquo;s degree in Business, Marketing, or related field</li><li>Fresh to 1 year in US-focused Business Development</li><li>Exposure to Digital Marketing, SaaS, or AI solutions</li><li>Strong English skills for international client interactions</li></ul>Candidate Profile:<ul><li>Strong B2B sales/business development skills</li><li>Strategic thinker with a growth mindset</li><li>Solid understanding of digital &amp; AI ecosystems</li><li>Thrives in a fast-paced, performance-driven culture</li></ul>Why Join Us:Be part of a global, high-performance team with entrepreneurial leadership and performance-based rewards.How to Apply:Send your CV to: careers1.hc@gmail.comCC: careers@humancapitalintl.comSubject Line: &ldquo;Business Development Manager &ndash; AI Visibility &amp; GEO&rdquo;Follow our social accounts for the latest job opportunities:<ul><li>Instagram: https://www.instagram.com/humancapitalhrsolutions/</li><li>LinkedIn: https://www.linkedin.com/company/human-capital-hr-solution/</li><li>Facebook: https://www.facebook.com/humancapitalhrsolution/</li></ul>Job Type: Full-timeWork Location: In person

Business Development Manager – AI Visibility & GEO

Motive

<div><div>Who we are:

Motive empowers the people who run physical operations with tools to make their work safer, more productive, and more profitable. For the first time ever, safety, operations and finance teams can manage their drivers, vehicles, equipment, and fleet related spend in a single system. Combined with industry leading AI, the Motive platform gives you complete visibility and control, and significantly reduces manual workloads by automating and simplifying tasks.

Motive serves nearly 100,000 customers &ndash; from Fortune 500 enterprises to small businesses &ndash; across a wide range of industries, including transportation and logistics, construction, energy, field service, manufacturing, agriculture, food and beverage, retail, and the public sector.

Visit gomotive.com to learn more.</div><div>

About the Role:

The Sales Data Quality Analyst II (L4) is a pivotal member of the GTM Strategy and Sales Operations organization, dedicated to ensuring that Salesforce data remains accurate, comprehensive, and actionable across all sales motions. Serving as the primary subject-matter expert for sales data integrity, this role focuses on account and contact data, segmentation, and global hierarchy management (including the UK and Mexico). The Analyst II will design and maintain sophisticated data quality frameworks, conduct deep-dive analyses using SQL and Salesforce, and convert complex data challenges into clear business insights and remediation strategies that bolster pipeline health, territory planning, and executive decision-making.

Responsibilities:
<ul>
<li>As a Sales Data Quality Analyst II, the person in this role is expected to:</li>
<li>Lead high-impact data quality investigations and diagnostics</li>
<li>Proactively identify data issues and anomalies across accounts, contacts, and opportunities.Use SQL and Salesforce reporting to perform root-cause analysis and quantify business impact.</li>
<li>Establish and maintain rigorous data quality standards</li>
<li>Help define what &quot;good&quot; looks like for sales data (e.g., completeness, consistency, and accuracy thresholds).Contribute to and maintain data quality scorecards, rules, and documentation.</li>
<li>Engineer and oversee proactive data monitoring frameworks</li>
<li>Build, maintain, and iterate on automated checks and recurring reports that monitor data health (e.g., duplicate detection, missing key fields, invalid hierarchies).Surface prioritized issue lists and trends to GTM stakeholders.Support segmentation and enrichment initiativesPartner with regional teams (e.g., UK contact enrichment, Mexico account segmentation) to define data requirements and coverage goals.Validate enrichment inputs and outputs, ensuring they meet agreed standards before they are rolled out to sales teams.</li>
<li>Architect account hierarchy and structural integrity</li>
<li>Support the design and maintenance of parent&ndash;child account hierarchies in Salesforce.Ensure that account structures reflect real-world corporate relationships and support roll-up reporting and planning.Partner with Sales, RevOps, and GTM StrategyWork closely with business stakeholders to understand how data is used in daily workflows and executive reporting.Translate data quality findings into clear, actionable recommendations tied to sales outcomes.</li>
<li>Standardize documentation and operationalize for scale</li>
<li>Create and maintain process documentation, runbooks, and data dictionaries related to key sales data objects and fields.Recommend process and system changes that reduce recurring data issues and support sustainable data quality improvements.</li>
</ul>
Qualifications:
<ul>
<li>Bachelor's degree in a quantitative field (e.g., Computer Science, Engineering, Statistics, Economics, Business Analytics) or equivalent practical experience in sales data, analytics, or operations.</li>
<li>Advanced SQL Proficiency: Expert ability to perform data validation, profiling, and reporting across large, complex datasets.</li>
<li>Salesforce Expertise: Strong working knowledge of Salesforce objects (Accounts, Contacts, Opportunities, custom GTM fields), including complex hierarchies and segmentation logic.</li>
<li>AI &amp; Automation Proficiency: Experience leveraging AI/ML and LLM-powered tools to accelerate analysis, documentation, and data quality investigations while applying strong human judgment and validation.</li>
<li>Data Enrichment: Familiarity with data enrichment workflows and rigorous quality checks for third-party data sources.</li>
<li>Analytical Problem-Solving: Ability to perform structured root-cause analysis and bridge technical issues with tangible business impact.</li>
<li>Strategic Prioritization: Proven comfort in prioritizing issues based on impact, effort, and evolving stakeholder needs.</li>
<li>Executive Communication: Ability to communicate complex findings in a clear, concise, and business-friendly way to sales leadership.</li>
<li>Stakeholder Management: Skill in managing expectations, aligning on priorities, and driving accountability for remediation plans.</li></ul></div> 

<div>Creating a diverse and inclusive workplace is one of Motive's core values. We are an equal opportunity employer and welcome people of different backgrounds, experiences, abilities and perspectives.

Please review our Candidate Privacy Notice here.

UK Candidate Privacy Notice here.

The applicant must be authorized to receive and access those commodities and technologies controlled under U.S. Export Administration Regulations. It is Motive's policy to require that employees be authorized to receive access to Motive products and technology.</div></div>

Sales Data Quality Analyst II

Speed Force Digital

Role OverviewWe are looking for a highly skilled and proactive Team Lead &ndash; Development &amp; AI who can lead technical teams while actively contributing to development and AI-driven solutions. This role requires a strong coding background combined with hands-on experience in modern AI tools and automation.The ideal candidate should be capable of managing projects, mentoring team members, and driving innovation through AI-powered solutions to support business growth.Key Responsibilities<ul><li>Lead and manage the development team, ensuring timely and high-quality project delivery</li><li>Actively contribute to coding, architecture, and technical decision-making</li><li>Design and implement scalable solutions using modern technologies</li><li>Leverage AI tools (e.g., ChatGPT, automation tools, AI APIs) to improve productivity and product capabilities</li><li>Collaborate with cross-functional teams (Product, Design, Marketing)</li><li>Review code, maintain best practices, and ensure clean, efficient development standards</li><li>Mentor and guide junior developers and interns</li><li>Identify opportunities to integrate AI into existing and new products</li><li>Manage project timelines, tasks, and team performance</li><li>Stay updated with emerging technologies, especially in AI and automation</li></ul>Requirements<ul><li>Bachelor&rsquo;s degree in Computer Science, Software Engineering, or related field</li><li>3&ndash;5+ years of experience in software development</li><li>Proven experience in a leadership or senior developer role</li><li>Strong proficiency in at least one backend and one frontend technology (e.g., Laravel, Node.js, React, etc.)</li><li>Hands-on experience with AI tools, APIs, or automation platforms</li><li>Solid understanding of system design, APIs, and database management</li><li>Experience with version control systems (Git)</li><li>Strong problem-solving and analytical skills</li><li>Excellent communication and team management abilities</li></ul>Preferred Skills<ul><li>Experience with AI integrations (OpenAI, chatbots, automation workflows, etc.)</li><li>Familiarity with cloud platforms (AWS, Azure, or GCP)</li><li>Knowledge of DevOps practices</li><li>Experience working in a fast-paced startup environment</li></ul>What We Offer<ul><li>Opportunity to work on cutting-edge AI and digital products</li><li>Growth-driven and collaborative work environment</li><li>Leadership exposure and career advancement</li><li>Competitive salary package</li></ul>Work Location: In person

Team Lead (AI)

CodeNinja

<div>About CodeNinja
CodeNinja is a full-stack AI delivery company that helps enterprises, governments, and software acquirers build and operate intelligence-driven systems for mission-critical workflows. We specialize in deploying AI into real operations&mdash;combining strong engineering fundamentals with AI-native delivery to create measurable value, resilience, and long-term ownership for our clients. Our global footprint and delivery model are supported by AI Labs, AI Pods, and Global Capability Centers, enabling teams to co-engineer scalable platforms across regions and time zones.
Role Purpose
Lead the ERP program&rsquo;s data strategy by ensuring data readiness, conceptual data modelling, reporting data sourcing, and structured data migration planning, enabling a reliable, unified data foundation across all modules.
Key Responsibilities<ul><li>Conduct comprehensive assessment of legacy data sources:</li></ul>
o Inventory, Maintenance (MRO), Procurement, HR, Technical Docs<ul><li>Identify:</li></ul>
o Data quality issues (duplicates, missing, inconsistencies)
o Data ownership and governance gaps
o Redundant/siloed datasets<ul><li>Define data cleansing and standardization approach</li><li>Produce Data Readiness Assessment Report</li><li>Define end-to-end Data Migration Strategy, including:</li></ul>
o Migration approach (phased, module-wise, or big-bang)
o Data prioritization (master data vs transactional vs historical)<ul><li>Develop Data Mapping Specifications:</li></ul>
o Legacy ERP field-level mappings
o Transformation rules and standardization logic
o Handling of missing/invalid data<ul><li>Define Data Cleansing &amp; Preparation Plan:</li></ul>
o Deduplication rules
o Data enrichment where required
o Validation checkpoints before migration<ul><li>Design Migration Execution Plan:</li></ul>
o Migration cycles (mock runs, dry runs, final cutover)
o Rollback strategy in case of failure
o Downtime and cutover planning<ul><li>Define Data Validation &amp; Reconciliation Framework:</li></ul>
o Pre-migration vs post-migration validation rules
o Reconciliation reports (counts, totals, relationships)
o Sign-off criteria for each module<ul><li>Produce key deliverables:</li></ul>
o Data Migration Plan
o Data Mapping Documents
o Data Validation &amp; Reconciliation Reports<ul><li>Identify and enable AI/ML use cases, such as:</li></ul>
o Predictive maintenance modeling
o Inventory demand forecasting
o Supplier performance analytics<ul><li>Leverage AI tools for:</li></ul>
o Data profiling and anomaly detection
o Data quality assessment and cleansing recommendations
o Advanced analytics and insights generation<ul><li>Define enterprise conceptual data model:</li></ul>
o Assets, Inventory, Work Orders, Suppliers, Workforce, Technical Docs<ul><li>Establish:</li></ul>
o Entity relationships
o Master data definitions
o Data standardization rules<ul><li>Support BI teams for dashboards and analytics</li><li>Align data models with business workflows</li><li>Ensure requirements are data-feasible and consistent</li></ul> 
Requirements 
3. Required Skills &amp; Experience
Mandatory<ul><li> 5 - 8 years in Data Analyst / Data Architecture roles</li><li>Experience in large-scale ERP or enterprise data transformation programs</li><li>Strong expertise in:</li></ul>
o Data modelling (conceptual &amp; logical)
o Data migration and cleansing
o Data warehousing and reporting
Technical Expertise<ul><li>Strong knowledge of:</li></ul>
o ETL processes and migration tools
o SQL and relational databases
o API-based integrations<ul><li>Experience with BI tools (Power BI, Tableau)</li></ul>
Preferred<ul><li>Experience in ERP &amp; Enterprise Data Management (logistics, manufacturing)</li><li>Exposure to:</li></ul>
o Maintenance (MRO) data
o Inventory systems
o Technical documentation repositories<ul><li>Demonstrated experience using AI/ML tools or platforms, such as:</li></ul>
o Data analysis and prediction tools
o AI-assisted data modeling or profiling tools<ul><li>Ability to translate data into AI-driven insights for decision-making</li></ul>
Why Join CodeNinja?<ul><li>
Work on impactful ERP transformation projects at enterprise scale
</li><li>Shape end-to-end data strategy, migration, and architecture
</li><li>Leverage AI/ML for advanced data insights and analytics
</li><li>Collaborate with cross-functional teams and drive business decisions
</li><li>Build scalable data models and governance frameworks
</li><li>Grow in a culture of innovation, ownership, and continuous learning</li></ul>
Equal Opportunity Statement
We are an equal opportunity employer and are committed to fostering an inclusive, diverse, and equitable workplace. We do not discriminate based on race, religion, gender, age, disability, nationality, marital status, or any other protected characteristic under applicable law. We encourage candidates from all backgrounds to apply. 
Benefits 
<ul><li>
Provident Fund</li><li>
Gym Membership
</li><li>Leaves as per the company policy
</li><li>Company-paid trips
</li><li>Easy Loan Facility for Employees
</li><li>Yearly increment
</li><li>Maternity Benefits (Leaves &amp; WFH)
</li><li>Health Insurance (Maternity covered) &ndash; includes spouse and parents (till age 80)</li></ul></div>

Data Architect

Magnatec Systems Private Limited

About the RoleWe are looking for a skilled and detail-oriented Business Analyst who can bridge the gap between business needs and technical solutions. The ideal candidate will play a key role in analyzing requirements, designing system workflows, and ensuring successful delivery of high-quality solutions.Key Responsibilities<ul><li>Act as a bridge between business stakeholders and the development team to ensure clear communication and alignment</li><li>Gather, analyze, and document requirements (BRD, FRD, use cases)</li><li>Translate business needs into functional and technical specifications</li><li>Create process flows, wireframes, and UI mockups where required</li><li>Work closely with developers to ensure accurate implementation</li><li>Manage multiple projects and priorities effectively</li><li>Support testing, validation, and User Acceptance Testing (UAT)</li><li>Track issues and ensure timely resolution</li><li>Assist in user training and post-implementation support</li><li>Contribute to improving system workflows and efficiency</li></ul>Requirements<ul><li>5+ years of experience as a Business Analyst / System Analyst / Functional Consultant</li><li>Strong understanding of Software Development Life Cycle (SDLC)</li><li>Experience in requirement gathering, documentation, and stakeholder management</li><li>Hands-on experience with UAT, process flows, and system design</li><li>Excellent communication and problem-solving skills</li><li>Ability to manage multiple projects simultaneously</li></ul>Good to Have<ul><li>Experience with ERP/CRM systems (Dynamics 365, SAP, Oracle, etc.)</li><li>Basic understanding of UI/UX principles or wireframing tools</li></ul>Work Location: In person

Senior Business Analyst - Female

Explore 2013+ Ai business development growth analyst in Lahore this May. Find roles across top companies and apply now to boost your career.