Position: Data Mining Team Leader / Manager – Australian B2C Market

Department: Data Mining / Lead Generation
Industry: BPO / Outbound Sales / Private Health Insurance
Market: Australia
Experience Required: Minimum 7+ years in Data Mining, with at least 2 year of experience in the Australian market
Salary: ₹1,00,000 – ₹1,50,000 per month, depending on experience and capabilities + very attractive incentives
Shift Timing: 5:00 AM – 2:00 PM IST
Cab Facility: Available
Job Type: Full-time | Work from Office

About the Role

We are looking for a highly experienced, innovative, and target-driven Data Mining Team Leader / Manager to build and manage our in-house data mining team for the Australian B2C market.

Our business operates in the Australian private health insurance segment, supported by an in-house outbound sales team. We are looking for a leader who can can generate a consistent, high-volume supply of relevant, qualified, and sales-ready leads for our sales team.

The ideal candidate must have a strong understanding of B2C data mining, lead generation strategies, data sourcing, database development, and the Australian consumer market. They should be capable of developing creative data acquisition strategies, identifying new data sources, building scalable processes, and establishing an in-house team that consistently delivers against defined lead generation targets.

This is a hands-on leadership role for someone who can build the function from the ground up, not just manage an existing team.

Key Responsibilities

1. Data Mining Strategy & Lead Generation

- Develop and implement innovative data mining strategies to generate high volumes of relevant B2C leads for the Australian private health insurance market.
- Identify, evaluate, and establish new data sources, acquisition channels, and lead generation opportunities.
- Explore creative methods to improve data availability, relevance, freshness, accuracy, and conversion potential.
- Build a sustainable pipeline of consumer data to support the business's growing sales requirements.
- Develop strategies to reduce dependency on external data vendors through effective in-house capabilities.
- Continuously experiment with new sourcing techniques, tools, platforms, and methodologies to improve lead generation performance.

2. Australian Market Expertise

- Demonstrate a solid understanding of the Australian B2C market and consumer data landscape.
- Identify potential customer segments relevant to private health insurance sales.
- Develop market-specific data strategies based on customer demographics, eligibility, intent, and other lawful and relevant segmentation criteria.
- Understand the challenges of sourcing accurate, compliant, and actionable Australian consumer leads.
- Ensure all data sourcing, collection, enrichment, and usage activities comply with applicable Australian privacy, marketing, and telemarketing requirements.

3. Target-Based Lead Delivery

- Own daily, weekly, and monthly lead generation targets aligned with the requirements of the sales team.
- Ensure a consistent volume of relevant, accurate, and usable leads is delivered within agreed timelines.
- Establish measurable KPIs for lead volume, accuracy, freshness, contactability, duplication, and sales conversion.




- Work closely with the sales leadership team to understand lead requirements, campaign performance, and feedback from callers.
- Analyze lead-to-contact, contact-to-sale, and other relevant conversion metrics to identify opportunities for improvement.
- Take corrective action when lead volumes, quality, or sales outcomes fall below targets.

4. Build & Lead an In-House Data Mining Team

- Recruit, train, mentor, and manage a high-performing data mining team.
- Develop a scalable team structure based on business requirements and lead generation targets.
- Define individual and team-level KPIs, productivity benchmarks, reporting mechanisms, and performance standards.
- Establish standard operating procedures for data sourcing, validation, enrichment, deduplication, quality assurance, and delivery.
- Build a culture of accountability, innovation, ownership, and continuous improvement.
- Identify training needs and develop team members into productive data mining professionals.

5. Tools, Technology & Process Improvement

- Evaluate and implement suitable data mining, web research, data enrichment, automation, and analytics tools.
- Use advanced Excel and relevant data management techniques to organise, validate, analyse, and report on large datasets.
- Identify opportunities to automate repetitive tasks and improve team productivity.
- Develop dashboards and reports to track lead generation output, quality, costs, and campaign performance.
- Optimise the cost per usable lead while maintaining the volume and quality required by the sales team.

6. Cross-Functional Collaboration

- Work closely with the sales team to understand campaign requirements and improve lead-to-sale conversion.
- Collect feedback from sales managers and agents to identify data gaps and improve targeting.
- Collaborate with management to forecast data requirements, set achievable targets, and plan team expansion.
- Present regular performance reports, new sourcing strategies, challenges, and improvement plans to senior management.

Required Skills & Qualifications

- Minimum 7+ years of overall data mining, lead generation, or relevant B2C data operations experience.
- At least 2 year of hands-on experience supporting the Australian market.
- Proven experience in B2C lead generation, preferably in insurance, financial services, telecommunications, utilities, or other outbound sales environments.
- Demonstrated ability to source and deliver large volumes of relevant leads against defined business targets.
- Previous experience leading a data mining or lead generation team.
- Proven ability to recruit, develop, and manage an in-house team.
- Strong knowledge of data sourcing strategies, database management, data validation, enrichment, and quality control.
- Proficiency in Excel and relevant data mining, analytics, automation, and lead management tools.
- Strong analytical, problem-solving, planning, and decision-making skills.




- Excellent communication and stakeholder management abilities.
- A proactive, entrepreneurial mindset with the ability to develop new ideas rather than depend entirely on existing databases or third-party vendors.
- Strong ownership of deliverables, targets, and business outcomes.

Preferred Experience

- Experience supporting Australian private health insurance or other Australian outbound sales campaigns.
- Experience building a data mining department or lead generation function from scratch.
- Experience working with large B2C databases and high-volume outbound campaigns.
- Familiarity with CRM systems, SQL, Python, APIs, web research tools, data enrichment platforms, or workflow automation.
- A proven track record of improving lead availability, reducing sourcing costs, and increasing sales conversion.
- Experience working with privacy-compliant data sourcing and Australian telemarketing requirements.

Performance Expectations

The successful candidate will be expected to:

- Build a scalable in-house data mining operation aligned with business growth.
- Establish reliable daily, weekly, and monthly lead delivery.
- Improve lead relevance, accuracy, freshness, and contactability.
- Develop new and sustainable data sourcing channels.
- Reduce reliance on expensive or inconsistent external data sources where feasible.
- Improve the productivity and output of the data mining team.
- Work towards measurable improvements in lead-to-sale conversion and overall campaign performance.

Performance targets will be agreed upon based on available resources, campaign requirements, lead definitions, and the initial assessment of sourcing opportunities.

Compensation & Benefits

- Salary: ₹1,00,000 – ₹1,50,000 per month + very attractive incentives, based on experience, expertise, and demonstrated capability.
- Shift: 5:00 AM – 2:00 PM IST.
- Cab Facility: Available.
- Opportunity to build and lead an in-house data mining function.
- Direct involvement in business growth, strategy, and operational decision-making.
- Opportunity to develop a high-performing team and establish scalable lead generation processes.

Who Should Apply?

We are looking for someone who understands that data mining is not simply about extracting data from existing sources. It is about developing sustainable sourcing strategies, identifying new opportunities, building systems, leading people, and consistently delivering commercially valuable leads.

If you have the experience, creativity, and leadership skills to build a strong in-house B2C data mining operation for the Australian private health insurance market, we would like to hear from you.

Apply with your updated CV and details of your experience in Australian B2C lead generation, team leadership, data sourcing strategies, and measurable lead generation achievements.

Pay: ₹1,200,000.00 - ₹1,800,000.00 per year

Application Question(s):

- How much total experience in data mining / B2C lead generation?
- How much hands-on experience in the Australian market?
- Have you personally built new data sourcing channels or an in-house team from scratch?
- What is the highest daily volume of usable B2C leads you have managed?
- Are you comfortable with the 5 AM–2 PM IST shift and ₹1–1.5 lakh monthly salary range?

Work Location: In person

📌 Data Mining Team Leader / Manager – AustralianC Market (Sahibzada Ajit Singh Nagar)
🏢 Qualaxis
📍 Sahibzada Ajit Singh Nagar