Sales Executive

ROLES AND RESPONSIBILITIES:

The Manager/Deputy Unit Manager – Dialer Ops serves as the functional owner of dialer performance across DMS portfolios. The role independently manages end-to-end dialer operations, leads performance optimization, and drives analytical insights to strengthen calling effectiveness. This position acts as a bridge between tactical execution and strategic decision-making, ensuring that dialer efficiency, compliance, and penetration targets are consistently met. The role requires strong domain expertise, analytical rigor, and cross-functional collaboration.

KEY RESPONSIBILITIES:

Dialer Strategy & Execution:

• Manage end-to-end execution of multiple dialer campaigns across various DMS delinquency buckets (X, 30+, 60+, 90+, etc.).
• Develop and execute segmentation-based calling strategies as guided by the business and senior leadership.
• Conduct deep-dive diagnostics on dialer logs, routing, pacing logic, and campaign-level performance.

Performance Optimization & Analytics:

• Analyze daily/weekly dialer metrics and highlight performance trends, gaps, and improvement opportunities.
• Implement dialing strategy enhancements—attempt logic, retry cycles, skill routing, and call distribution.

Compliance & Governance:

• Conduct rigorous audits of calling lists, exclusion logic, DND filters, opt-outs, customer consent, and allowed calling windows.
• Ensure adherence to regulatory guidelines, internal audit standards, and risk controls.
• Maintain robust documentation of campaign changes, SOP updates, and version logs.

Cross-Functional Coordination:

• Collaborate with Operations for workforce alignment, agent readiness, and campaign prioritization.
• Work with Tech teams to resolve dialer issues, API failures, latency lags, and integration errors.
• Partner with Quality and Policy teams to align operational execution with business rules.
• Coordinate with MIS teams for data validation and report automation.

Reporting & Governance:

• Prepare and publish daily/weekly/monthly MIS reports, dashboards, and analytical presentations.
• Present dialer performance during weekly business reviews and highlight key insights or areas requiring action.
• Track KPI dashboards for leadership, including connect %, agent utilization, penetration, drop %, and productivity metrics.

IDEAL CANDIDATE:

Domain & Technical Expertise:

• Strong understanding of Collections, DMS frameworks, delinquency buckets, and customer treatment strategies.
• Hands-on experience with enterprise-grade dialer systems (Genesys / Avaya / Aspect / Ameyo / NICE / Five9).
• In-depth knowledge of dialer modes (predictive, preview, progressive), pacing logic, call blending, and routing principles.
• Working knowledge of CRM systems, CTI integrations, and lead management platforms.

Analytical & Reporting Skills:

• Advanced Excel skills (Power Query, Pivots, Index/Match, Nested formulas, Data modeling).
• SQL proficiency preferred for data extraction, query building, and troubleshooting.
• Ability to interpret large data sets and convert findings into actionable insights.

Execution & Problem-Solving Skills:

• Strong troubleshooting ability to resolve dialer failures, configuration errors, and performance bottlenecks.
• High execution discipline with the ability to manage multiple campaigns simultaneously.
• Strong decision-making capabilities under operational pressure.

Communication & Stakeholder Management:

• Ability to collaborate effectively with cross-functional teams (Ops, Tech, Analytics, Compliance).
• Strong documentation, reporting, and presentation skills.
• Ability to translate analytical findings into business-friendly recommendations.

Eligibility-

• Open to employees in GB03A / GB03B as per mobility and internal movement guidelines.
• Must have completed minimum tenure requirements as defined by HR.
• No active performance improvement plan or disciplinary action.
• Consistent performance ratings and adherence to compliance norms.

PERKS, BENEFITS AND WORK CULTURE:

Our people define our passion and our audacious, incredibly rewarding achievements. The company is one of India’s most diversified non-banking financial companies, and among Asia’s top 10 Large workplaces. If you have the drive to get ahead, we can help find you an opportunity at any of the 500+ locations we’re present in India.

Key Responsibilities

• Design and develop facade concepts, details, and technical drawings.

• Collaborate with architects, engineers, and contractors to ensure design integration.

• Prepare 2D/3D models, renderings, and specifications for facade systems.

• Research and recommend materials, finishes, and sustainable technologies.

• Review shop drawings, prototypes, and mock-ups for compliance with design intent.

• Provide technical support during tendering, procurement, and construction phases.

 Skills & Competencies

• Proficiency in AutoCAD, Revit.

• Strong knowledge of facade materials (glass, aluminum, stone, composites).

• Understanding of building physics and envelope performance.

BE/Mech

We are looking for a visionary and hands-on Head of Data Science and AI with at least 6 years of experience to lead our data strategy and analytics initiatives. In this pivotal role, you will take full ownership of the end-to-end technology stack, driving a data-analytics-driven business roadmap that delivers tangible ROI. You will not only guide high-level strategy but also remain hands-on in model design and deployment, ensuring our data capabilities directly empower executive decision-making.

If you are passionate about leveraging AI and Data to transform financial services, we invite you to lead our data transformation journey.

Key Responsibilities

Strategic Leadership & Roadmap

• End-to-End Tech Stack Ownership: Define, own, and evolve the complete data science and analytics technology stack to ensure scalability and performance.
• Business Roadmap & ROI: Develop and execute a data analytics-driven business roadmap, ensuring every initiative is aligned with organizational goals and delivers measurable Return on Investment (ROI).
• Executive Decision Support: Create and present high-impact executive decision packs, providing actionable insights that drive key business strategies.

Model Design & Deployment (Hands-on)

• Hands-on Development: Lead by example with hands-on involvement in AI modeling, machine learning model design, and algorithm development using Python.
• Deployment & Ops: Oversee and execute the deployment of models into production environments, ensuring reliability, scalability, and seamless integration with existing systems.
• Leverage expert-level knowledge of Google Cloud Agentic AI, Vertex AI and BigQuery to build advanced predictive models and data pipelines.
• Develop business dashboards for various sales channels and drive data driven decision making to improve sales and reduce costs. 

Governance & Quality

• Data Governance: Establish and enforce robust data governance frameworks, ensuring data accuracy, security, consistency, and compliance across the organization.
• Best Practices: Champion best practices in coding, testing, and documentation to build a world-class data engineering culture.

Collaboration & Innovation

• Work closely with Product, Engineering, and Business leadership to identify opportunities for AI/ML intervention.
• Stay ahead of industry trends in AI, Generative AI, and financial modeling to keep Bajaj Capital at the forefront of innovation.

Must-Have Skills & Experience

Experience:

• At least 7 years of industry experience in Data Science, Machine Learning, or a related field.
• Proven track record of applying AI and leading data science teams or initiatives that resulted in significant business impact.

Technical Proficiency:

• Core Languages: Proficiency in Python is mandatory, with strong capabilities in libraries such as Pandas, NumPy, Scikit-learn, TensorFlow/PyTorch.
• Cloud Data Stack: Expert-level command of Google Cloud Platform (GCP), specifically Agentic AI, Vertex AI and BigQuery.
• AI & Analytics Stack: Deep understanding of the modern AI and Data Analytics stack, including data warehousing, ETL/ELT pipelines, and MLOps.
• Visualization: PowerBI in combination with custom web/mobile applications.

Leadership & Soft Skills:

• Ability to translate complex technical concepts into clear business value for stakeholders.
• Strong ownership mindset with the ability to manage end-to-end project lifecycles.
• Experience in creating governance structures and executive-level reporting.

Good-to-Have / Plus

• Domain Expertise: Prior experience in the BFSI domain (Wealth Management, Insurance, Mutual Funds, or Fintech).
• Certifications: Google Professional Data Engineer or Google Professional Machine Learning Engineer certifications.
• Advanced AI: Experience with Generative AI (LLMs), RAG architectures, and real-time analytics.

Role & responsibilities:

1. Implement and integrate AI tools into business workflows and Automate tasks using no-code platforms and AI APIs.
2. Integrate LLMs, vision models, and other pre-trained AI services (OpenAI, Hugging Face, Google Vertex AI) into internal systems.
3. Deployment, Customization & Fine-tune foundation models using supervised learning, prompt engineering, and custom datasets.
4. Build systems to extract structured data from PDFs and scanned documents using OCR, NLP, and document-understanding models.
5. Design and optimize AI prompts for content generation, customer support, and business analytics.
6. Knowledge in Agent2Agent, MCP Servers, Context Handling Cross-Functional Collaboration.
7. Work with marketing, sales, support, and HR teams to identify and implement AI-driven process improvements.
8. Monitor AI outputs for quality, compliance, and relevance. Ensure responsible and ethical AI usage.

Preferred candidate profile:

• Bachelors/Masters in Computer Science, AI/ML, or related field.
• Strong programming skills in Python; experience with TensorFlow, PyTorch, Transformers, Scikit-learn.
• Hands-on experience with LLMs, prompt engineering, and model fine-tuning.
• Skilled in OCR and document parsing tools (e.g., Tesseract OCR, PDFMiner, LayoutLM, Azure Form Recognizer).
• Experience in workflow automation tools (e.g., Crew AI, LangChain).
• Knowledge of REST APIs, microservices, and containerization.
• Analytical mindset with a focus on process improvement.

Perks and benefits:

• Competitive Salary and Professional development opportunities and training.
• Opportunity to work with cutting-edge technologies in a fast-paced environment.
• Collaborative and supportive work environment.

Role: React Native Lead

Exp: 5-9 Years

CTC: up to 30 LPA

Location: Bangalroe

Job Description:  

• Job involves working on latest technologies and frameworks in mobile and open source world to develop mobile applications, mobile web sites and rich internet applications.  

• Candidate should be Collaborative and Quality-focused, resourceful initiative taker, and someone who has good English communication skills.  

Desired Candidate Profile:  

• Work as part of a team to build React Native iOS / Android applications for clients.  

• Architect, build and maintain excellent React Native applications with clean code.  

• Experience with React Js, React Native, JavaScript  

• Implement pixel perfect UI's that match designs.  

• Implement clean, modern, smooth animations and transitions that provide an excellent user 

experience.  

• Familiarity with RESTful API.  

• Release applications to IOS and Google Play stores.  

Job Title: Store Manager – Footwear Retail

📍 Location:Hyderabad

💼 Employment Type: Full-Time

About the Role

We are looking for a passionate and result-driven Fashion Consultant to lead our footwear retail store. The ideal candidate will be responsible for driving sales, delivering excellent customer service, managing daily store operations, and leading a team to achieve business goals.

Key Responsibilities

• Oversee day-to-day operations of the footwear store.
• Achieve sales targets and ensure profitability.
• Deliver outstanding customer service and resolve queries effectively.
• Manage inventory control, stock replenishment, and shrinkage.
• Ensure attractive visual merchandising and store presentation.
• Train, motivate, and lead the store team to perform at high standards.
• Monitor KPIs and business performance regularly.
• Maintain compliance with company policies and operational standards.

Qualifications & Experience

• Graduate in Business, Retail, or related field (preferred).
• 0-1 years of experience in retail management, preferably in footwear, fashion, or lifestyle stores.
• Strong knowledge of retail operations, merchandising, and sales techniques.
• Excellent leadership, problem-solving, and customer service skills.

Skills Required

✔ Retail sales & business development

✔ Inventory & stock management

✔ Team leadership & training

✔ Customer relationship management

✔ Visual merchandising & store upkeep

• Familiarity with the ASP.NET framework, SQL Server and design/architectural patterns (e.g. Model-View-Controller (MVC)
• 5 years of development experience using C# .NET
• Knowledge of at least one of the .NET languages (e.g. C#, Visual Basic .NET) and HTML5/CSS3
• Familiarity with architecture styles/APIs (REST, RPC)
• Understanding of Agile methodologies
• Strong attention to detail
• Excellent troubleshooting and communication skills
• Knowledge of REST and RPC APIs
• Able to work well in a team setting

Oversee the sales process to attract new clients.

Work with senior team members to identify and manage risks.

Maintain fruitful relationships with clients and address their needs effectively.

Prepare and deliver pitches to potential investors.

Foster a collaborative environment within the organization.

Transfer call to the supervisor after initial explanation.

SKILLS:

Excellent spoken English.

Both Graduate/Undergraduate may apply.

Ability to develop good relationships with current and potential clients.

Excellent communication skills.

Knowledge of productivity tools and software.

Ready to work in Nightshift.

Qualifications/Skills 

1. CS, A background in law will be a strong plus.

2. Strong Excel and Powerpoint skills

Soft skills and personality traits 

1. Should be detail oriented and extremely methodical

2. Should have a pleasant disposition and get along well with people

3. Should have a strong work ethic. If something is not "too low" for Senior Executives and the Founder, it should not be "too low" for the candidate.

Roles and Responsibilities 

1. To ensure compliance with local laws and best practices

2. To prepare monthly and quarterly reports for the board and investors 3. To manage treasury operations as may be required

Hybrid Work Model