Lead QA - Automatiion

Position: Performance Marketing and CRM (Fashion/Luxury/Lifestyle) - female

Experience: 3-5 year

Location: Sector-54, Gurgaon

Industry” Luxury/Fashion/ Apparel

Key Responsibilities:

1. CRM & Customer Retention

·         Manage and segment customer data across Shopify, marketplaces (Amazon, Myntra, Tata CLiQ Luxury), and CRM platforms.

·         Execute email and WhatsApp campaigns — automation, A/B testing, personalization, and performance tracking.

·         Develop and manage loyalty, referral, and win-back programs to improve customer lifetime value (LTV).

·         Integrate and optimize AI Chatbots for personalized engagement and lead nurturing.

2. Performance Marketing (Meta, Google, YouTube)

·         Plan, execute, and optimize campaigns across Meta (Facebook/Instagram), Google Ads, and YouTube.

·         Collaborate with internal and external teams for audience segmentation, creative testing, UTM setup, and reporting.

·         Monitor and analyze KPIs including ROAS, CTR, CAC, and conversion rate, making data-backed optimization recommendations.

·         Test audience clusters for premium segmentation.

·         Align ad campaigns with CRM strategies to ensure consistent communication across channels.

3. Analytics & Reporting

·         Create integrated dashboards covering CRM and paid media performance.

·         Track key engagement metrics such as open rate, CTR, repeat purchase rate, and campaign ROI.

·         Provide insights to enhance customer journey mapping, funnel efficiency, and conversion pathways.

·         Present monthly performance summaries and improvement recommendations.

4. Cross-Functional Collaboration

·         Work with marketing, operations, and tech teams to synchronize CRM, automation, and digital marketing efforts.

·         Coordinate with agencies or vendors for campaign execution, data sync, and CRM tool integration.

·         Ensure brand consistency and premium positioning across all digital touchpoints.

Qualifications

·         Bachelor degree in Marketing, Business, or related field.

·         3–5 years of experience in CRM and/or Performance Marketing for premium or lifestyle brands.

·         Proficiency in CRM and automation tools (e.g., HubSpot, Brevo, Mailchimp, Zoho, Klaviyo).

·         Working knowledge of Meta Ads Manager, Google Ads, and YouTube Campaign Manager.

·         Strong analytical mindset; ability to interpret campaign data and make optimization decisions.

·         Experience with Shopify, marketplaces (Amazon, Myntra, Tata CLiQ Luxury), and email workflows and automations.

·         Excellent communication and coordination skills, with a premium brand sensibility.

Mail updated resume with salary details-

Email: etalenthire[at]gmail[dpt]com

Satish: 88O 27 49 743

Senior Business Development Specialist 

GormalOne LLP. Mumbai IN 

GormalOne is a Agri tech enterprise with a vision to make dairy farming highly profitable for the smallest farmer, thereby ensuring India's “Nutrition security”. Our mission is driven by the use of advanced and scalable technology. Nitara, our Flagship product is an Artificial intelligence-led Precision Dairy platform focused on data-driven dairying and fostering collaboration among Dairy stakeholders for informed decision making and improved outcomes through Digitization.

We are looking for an ambitious Senior Business Development Specialist who will be responsible for driving the Business Goals of the Organisation. The candidate should be motivated and self-driven to succeed in a changing business climate. Candidate should be detail oriented and having an excellent business sense with a strong track record of Revenue generation demonstrating project execution capabilities.

If you are a candidate who is keen to create impact at grassroots level through their business goals whilst utilising innovative community development approaches then we would love to hear from you.

Responsibilities

• Overseeing the company's business strategy and operations, leading teams, and goal setting 
• Implement effective sales strategies to meet & exceed Revenue targets. 
• Identify new business opportunities.
• Conducting market research and analysis to create detailed business plans on commercial opportunities (expansion, business development etc.) 
• Develop and maintain strong relationships with key clients, ensuring high levels of satisfaction and retention. Work closely with stakeholders to understand their needs and deliver tailored dairy tech solutions. 
• Collaborate with internal departments to optimize client satisfaction and operational efficiency. Lead teams, ensuring alignment with business goals. 
• Develop, train, deploy and monitor account handling team to manage clients in different geographies. 
• Working with different departments to align efforts with the company's mission and vision 
• Monitor performance of commercial activities using key metrics and prepare Business MIS,  

Key skillsets

• A deep understanding of opportunities for a strong digital strategy, business innovation, establishing partnerships  
• Demonstrate experience in formal project planning, management and delivery including needs assessment, priority setting and action planning. Excellent organizational and problem-solving abilities 
• Ability to build, lead, motivate and create a strong team. 
• Ability to thrive in a fast paced, evolving environment. 
• Evidence of a range of essential communication skills e.g. presentations, public meetings, group facilitation and group-based training. 
• Evidence of regular and in-depth continued use of computers to use the Internet and email systems in addition to Microsoft Word, Access, Excel and PowerPoint and social media platforms. 

Basic Requirements

• Minimum of 10-12 years of Business development and revenue generation experience in technology and digital solutions for Agri industry 
• Proven success in Sales, client management & operational execution 

Additional Requirements

• Degree in any Dairy/Agri/Rural Management Field 
• Strong Knowledge of Dairy processing & technology solutions in dairy industry will be considered an advantage.
• Working in the agriculture market with a minimum of 5 years in Dairytech/Agritech industry. 

Kindly note: Salary shall be commensurate with qualifications and experience.

Visit us at - https://gormalone.com/ & https://www.nitara.ai/ 

Hello

Hope you are doing great

We have an Urgent & high-priority global opening with a leading consulting organization in Qatar. Immediate interview slots available. We are looking for a Senior Data & AI Consultant with strong Azure expertise to work in a highly client-facing consulting role.

🔹 Quick Role Overview

• Role: Senior Data & AI Consultant
• Location: Doha, Qatar (Onsite)
• Employment Type: Full-time
• Travel: GCC travel required
• Experience Required: 8+ years
• Domain: Data Strategy, Data Engineering, AI/ML, Consulting
• Industry Exposure: Public Sector, BFSI, Oil & Gas, Government, Healthcare, Utilities

📌 Role Summary

The Senior Data & AI Consultant will play a critical role in driving enterprise Data & AI transformations across clients. This role blends data strategy, architecture, engineering, governance, and AI/ML delivery with strong consulting, stakeholder management, and pre-sales responsibilities.

You will work closely with CXOs, business leaders, and technical teams to design scalable Azure-based data platforms, develop advanced analytics and AI solutions, and guide organizations on responsible AI adoption.

🎯 Key Responsibilities

1. Data Strategy & Advisory

• Develop enterprise-wide Data & AI strategies and transformation roadmaps
• Perform data maturity assessments and define improvement plans
• Lead CXO-level workshops aligning business goals with Data & AI initiatives
• Guide clients on responsible and ethical AI practices

2. Data Architecture & Engineering

• Design scalable data platforms on Microsoft Azure
• Architect and implement batch and real-time pipelines using ADF, Synapse, Databricks, Event Hubs
• Build enterprise data models and modern lakehouse architectures
• Implement data quality, metadata, and lineage solutions using Azure Purview
• Partner with AI teams to ensure data readiness for ML/AI use cases

3. AI & Advanced Analytics

• Lead end-to-end AI/ML solution development using Azure ML, OpenAI, Cognitive Services
• Build ML and Generative AI solutions (LLMs, RAG, prompt engineering)
• Implement MLOps practices (CI/CD, deployment, monitoring, governance)
• Ensure Responsible AI – explainability, fairness, and compliance
• Collaborate across the full AI lifecycle: data sourcing → modeling → deployment

4. Consulting, Pre-Sales & Leadership

• Lead client workshops, PoCs, demos, and discovery sessions
• Support proposal development and solution architecture design
• Contribute to thought leadership (blogs, whitepapers, events)
• Mentor junior consultants and ensure delivery excellence

🧠 Desired Skills & Competencies

✅ Must-Have

• 8+ years of experience across Data, Analytics, and/or AI roles
• Strong hands-on experience in the Azure ecosystem
• Proven consulting and client-facing experience
• Exposure to at least one specialization:
• Data Management
• Data Governance
• AI/ML Engineering

🔧 Technical Expertise (Any one or more areas)

A. Data Management

• Azure Data Factory, Synapse, Data Lake, Databricks, Event Hubs
• Strong SQL, Python, Spark
• Data modeling, ETL/ELT, data quality frameworks
• Exposure to Microsoft Fabric / Airflow / Kafka

B. Data Governance & Strategy

• Knowledge of DAMA-DMBOK, CMMI-DMM
• Experience with Informatica (Axon, IDQ, EDC, IDMC)
• Governance operating models, stewardship, privacy frameworks

C. AI/ML Engineering

• Python, TensorFlow, PyTorch, Scikit-learn, Azure ML
• Generative AI, LLMs, RAG pipelines
• Experience in at least 3 domains: NLP, CV, predictive modeling, recommender systems, anomaly detection
• Strong MLOps exposure

🤝 Consulting & Leadership Skills

• Excellent stakeholder and CXO communication
• Strong problem-solving and business translation skills
• Workshop facilitation, proposal writing, client presentations
• Mentoring and technical leadership capabilities

🎓 Education & Certifications

Required Qualification:

• BCA / B.Sc. (Computer Science) / B.E. / B.Tech
• MCA / M.E. / M.Tech

• Collaborate with the business teams to understand the data environment in the organization; develop and lead the Data Scientists team to test and scale new algorithms through pilots and subsequent scaling up of the solutions
• Influence, build and maintain the large-scale data infrastructure required for the AI projects, and integrate with external IT infrastructure/service
• Act as the single point source for all data related queries; strong understanding of internal and external data sources; provide inputs in deciding data-schemas
• Design, develop and maintain the framework for the analytics solutions pipeline
• Provide inputs to the organization’s initiatives on data quality and help implement frameworks and tools for the various related initiatives
• Work in cross-functional teams of software/machine learning engineers, data scientists, product managers, and others to build the AI ecosystem
• Collaborate with the external organizations including vendors, where required, in respect of all data-related queries as well as implementation initiatives