SEO Strategist

Job Title: Manager – Performance Marketing

Job Purpose: You will own the end-to-end performance marketing strategy across digital channels – from campaign planning to optimization – in close partnership with our external media agency. You will act as the key liaison between internal stakeholders and the agency, ensuring that campaigns align with Indias brand vision and performance goals.

Job Location: Gurgaon

Qualification: Graduate

Required Qualifications & Skills:

·        Experience: 7+ years in Performance Marketing, preferably in Fashion, Lifestyle, Beauty, or D2C Consumer Brands.

·        Platforms Expertise: Deep hands-on knowledge of Meta Ads, Google Ads, DV360, Appsflyer, Adobe Analytics, and GA4.

·        Analytical Proficiency: Strong command over Excel/Google Sheets & Presentation Skills, campaign analysis, and ROI modeling.

·        Creative Acumen: Strong understanding of creative trends and what makes an ad scroll-stopping.

·        Collaboration Skills: Proven experience working with agencies and cross-functional teams.

·        Mindset: Strategic thinker with an execution-first attitude, comfortable working in a fast-paced retail environment.

Key Deliverables (Essential functions & Responsibilities of the Job):

1.      Performance Strategy & Ownership

Lead and oversee the full-funnel performance marketing plan across Meta, Google, DV360, Programmatic, YouTube, and Affiliate networks, ensuring alignment with business and brand objectives.

2.      Agency Coordination

Collaborate closely with the media agency to plan, execute, and optimize campaigns. Review media plans, performance reports, and optimization strategies regularly to ensure effective spend utilization and ROI.

3.      Performance Metrics & Optimization

Track and manage key metrics including CAC, ROAS, CTR, CVR, and LTV. Ensure budget efficiency and continuously improve campaign effectiveness through A/B testing, creative experiments, and audience refinement.

4.      Cross-functional Collaboration

Partner with merchandising, content, product, and creative teams to align campaigns with collection launches, key trading moments, and promotional priorities.

5.      Vendor Evaluation & Onboarding

Identify and onboard new marketing vendors or technology partners that can deliver better performance outcomes, efficiency, and cost advantages. Continuously evaluate vendor performance to ensure value delivery.

6.      Insights & Reporting

Analyze campaign performance and consumer behavior through GA4, Appsflyer, and Adobe Analytics. Build weekly and monthly dashboards highlighting key learnings, insights, and recommendations.

7.      Channel Experimentation

Identify and test new paid growth opportunities across emerging channels such as Pinterest, Snapchat, and Influencer-led Performance Partnerships.

8.      Creative Performance Management

Work with internal and agency creative teams to brief and evaluate performance-first creatives— ensuring they resonate with the fashion-forward audience.

Note: Looking for a smart, presentable, culturally aligned candidate, preferably from a brand side, with strong skills in Adobe, Appsflyer, Excel, and presentation making.

Mail updated resume with salary details-

Email: etalenthire[at]gmail[dot]com

Satish: 88O 27 49 743

Google search: Glan management Consultancy

Role Overview

We are seeking a hands-on technology POD Lead who blends engineering excellence with statistical rigor and business acumen to drive end-to-end product delivery in an agile, data-driven environment. The ideal candidate will lead a multidisciplinary team of BI developers, data engineers, ML practitioners, and product analysts to accelerate business growth through scalable, AI-enabled products, econometric models and intelligent insights.

This role sits at the intersection of engineering, analytics, econometrics, MLOps and growth strategy, requiring a balance of technical depth, stakeholder engagement, and agile execution.

Key Responsibilities

1. Leadership & Delivery

• Lead a cross-functional pod of data engineers, BI developers, statisticians and machine learning engineers to deliver AI-powered products and analytics solutions.
• Translate strategic goals into data science roadmaps executed in agile sprints, ensuring measurable business outcomes for every release.
• Foster a culture of experimentation, accountability, and rapid iteration across data, AI, and product workstreams.

2. Product & Business Integration

• Partner with business stakeholders across Sales, Marketing, Finance, and Operations to identify high-impact use cases such as churn prediction, growth forecasting, pricing optimization, causal impact analysis or next-best-action recommendations.
• Drive the roadmap for analytical and econometric product capabilities (e.g., predictive dashboards, personalization engines, time-series forecasting, and more).
• Ensure all solutions are aligned with enterprise data strategy, governance, MLOps lifecycle and security standards.

3. Technical Execution

• Collaborate with ML engineers to productionalize models using Databricks, MLflow, Azure ML, or equivalent CI/CD MLOps frameworks.
• Guide teams on feature engineering, model selection, hyperparameter tuning, and validation for statistical and machine learning models.
• Encourage adoption of reusable data assets, API-based integrations, and modular code frameworks.
• Oversee econometric modeling, causal inference studies, and time-series forecasting for business-critical decision-making.
• Champion model lifecycle management, including version control, retraining pipelines, and performance drift monitoring.

4. Business Intelligence & Data Storytelling

• Supervise the creation of advanced BI dashboards and insight layers powered by predictive and generative AI.
• Translate complex statistical outputs into actionable business narratives for executive decision-making.
• Champion KPI alignment and measurement frameworks, ensuring analytics deliver quantifiable value to revenue, growth, retention, and operational efficiency metrics.

5. Agile Program Management

• Manage sprint planning, backlog prioritization, and resource allocation across concurrent projects.
• Track velocity, quality metrics, and ROI impact for each product stream.
• Coach teams on agile best practices and outcome-oriented delivery.

Qualifications

Required

• 10+ years of total experience with at least 3 years in a tech lead capacity.
• Proven expertise in Python, SQL, statistical modeling (e.g., regression, time-series, causal inference) and one or more of Power BI, Tableau, MicroStrategy.
• Strong foundation in data engineering, cloud architecture (Azure/AWS/GCP), and ML model deployment.
• Experience leading cross-functional agile teams with engineers, analysts, and data scientists.
• Excellent communication and stakeholder management skills — capable of simplifying complex data stories for business leaders.

Preferred

• Experience in forecasting models, econometrics, and experimental design (A/B testing, uplift modeling).
• Exposure to MLOps tools (MLflow, Kubeflow, Airflow, Azure ML pipelines) and monitoring frameworks for models in production.
• Familiarity with agentic AI, LLM-based product development, or generative analytics use cases.
• Prior experience building analytics or AI solutions in B2B, SaaS, or digital transformation contexts.
• Certifications in Agile, Cloud (Azure ML, AWS Data Analytics), or Data Science specialization are a plus.

Key Traits

• Hands-on technologist who can code, review, and guide with empathy.
• Strategic thinker who connects product vision with execution.
• Comfortable operating in ambiguity and scaling solutions from POC to enterprise rollout.
• Passionate about mentoring teams and embedding a data-first, growth-oriented mindset.

We’re thrilled to announce that we’re expanding our team in Ghatkopar, Mumbai

Are you a go-getter with a knack for finding top talent? 

Join our team and play a pivotal role in connecting the right talent to the right opportunities.

What We’re Looking For:

*Passion for recruitment and talent acquisition.

*Strong research and communication skills.

*Experience in sourcing through job boards, social media, and other channels.

Your primary focus will be developing web applications and components. You'll implement them with the React.js framework, following generally accepted practices and workflows. You will ensure that you produce robust, secure, modular, and maintainable code. You will coordinate with other team members, including backend developers and UX/UI designers. Your commitment to team collaboration, good communication, and a quality product is crucial.

Day-to-day responsibilities include:

1. Developing new user-facing features using React.js and workflows like Redux.
2. Building reusable components and front-end libraries for future use.
3. Translating designs and wireframes in high-quality code.
4. Optimising components for maximum performance across a vast array of web-capable devices and browsers.
5. Integrating APIs for complete functionality.
6. Write technical documentation.

Responsibilities include:

1. Experience developing desktop and mobile applications for a minimum of 2 years.

2. Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model

3. Thorough understanding of React.js and its core principles

4. Should have experience with Redux and respective middlewares (eg. redux-thunk or redux-saga)

5. Familiarity with RESTful APIs

6. Knowledge of modern authorization mechanisms, such as JSON Web Token

7. Familiarity with modern front-end build pipelines and tools

8. Ability to understand business requirements and translate them into technical requirements

9. Knowledge of D3.js would be plus

Skills Required: HTML/CSS, Javascript, React.js, Redux.

Required Experience: 2 - 4 year of experience

JD:
Strong proficiency in JavaScript, including DOM manipulation and the JavaScript object model

Thorough understanding of React.js and its core principles

Experience with popular React.js workflows (such as Flux or Redux)

Familiarity with newer specifications of EcmaScript

Knowledge of isomorphic React is a plus

Familiarity with RESTful APIs

Knowledge of modern authorization mechanisms, such as JSON Web Token

Experience with common front-end development tools such as Babel, Webpack, NPM, etc.

Ability to understand business requirements and translate them into technical requirements

A knack for benchmarking and optimization

Familiarity with code versioning tools such as Git

CANDIDATE WILL BE DEPLOYED IN A FINANCIAL CAPTIVE ORGANIZATION @ PUNE (KHARADI)

Below are the job Details :-

Experience 10 to 18 years

Mandatory skills –

• data migration,
• data flow

The ideal candidate for this role will have the below experience and qualifications:  

• Experience of building a range of Services in a Cloud Service provider (ideally GCP)  
• Hands-on design and development of Google Cloud Platform (GCP), across a wide range of GCP services including hands on experience of GCP storage & database technologies. 
• Hands-on experience in architecting, designing or implementing solutions on GCP, K8s, and other Google technologies. Security and Compliance, e.g. IAM and cloud compliance/auditing/monitoring tools 
• Desired Skills within the GCP stack - Cloud Run, GKE, Serverless, Cloud Functions, Vision API, DLP, Data Flow, Data Fusion 
• Prior experience of migrating on-prem applications to cloud environments. Knowledge and hands on experience on Stackdriver, pub-sub, VPC, Subnets, route tables, Load balancers, firewalls both for on premise and the GCP.  
• Integrate, configure, deploy and manage centrally provided common cloud services (e.g. IAM, networking, logging, Operating systems, Containers.)  
• Manage SDN in GCP Knowledge and experience of DevOps technologies around Continuous Integration & Delivery in GCP using Jenkins.  
• Hands on experience of Terraform, Kubernetes, Docker, Stackdriver, Terraform  
• Programming experience in one or more of the following languages: Python, Ruby, Java, JavaScript, Go, Groovy, Scala  
• Knowledge or experience in DevOps tooling such as Jenkins, Git, Ansible, Splunk, Jira or Confluence, AppD, Docker, Kubernetes  
• Act as a consultant and subject matter expert for internal teams to resolve technical deployment obstacles, improve product's vision. Ensure compliance with centrally defined Security 
• Financial experience is preferred 
• Ability to learn new technologies and rapidly prototype newer concepts 
• Top-down thinker, excellent communicator, and great problem solver

Exp:- 10  to 18 years

Location:- Pune

Candidate must have experience in below.

• GCP Data Platform
• Data Processing:- Data Flow, Data Prep, Data Fusion
• Data Storage:- Big Query, Cloud Sql,
• Pub Sub, GCS Bucket