ERP - Business Analyst

Manual QA Requirement: Manual QA Testers – Mobile Application Testing 2–3 Manual QA Testers to support an ongoing mobile application project. Key Requirements: ● 3–5 years of experience in software testing, with a strong focus on mobile application testing (mandatory). ● Hands-on experience testing applications built on React Native. ● Basic understanding of Java-based microservices on the backend. ● Working knowledge of Detox (React Native testing framework) is preferred. ● Good to have: ○ Exposure to fintech, particularly with an understanding of trading or investment platforms. ○ Experience with Playwright (not mandatory). 

Role Summary

The Director, Client Relations – Staff Augmentation will lead the end-to-end ownership, scaling, and expansion of the staff augmentation business for key global clients, primarily in North America. This role will be responsible for building and growing a high-quality offshore delivery organization, scaling from an initial team of 10 plus FTEs to 100 plus FTEs across multiple client owned processes.

The Director will act as the senior most client interface, partnering with client leadership to understand demand, define the right staffing model, and ensure seamless execution. This role combines business growth, workforce strategy, delivery governance, and organizational building.

The role will also carry full ownership of the P&L for this line of business, including revenue growth, cost optimization, and long-term scalability.

Key Responsibilities

1) Client Leadership and Business Ownership

• Act as the primary point of contact for senior client stakeholders.
• Build strong executive relationships and position the organization as a trusted partner.
• Own the overall engagement, including delivery quality, growth, and client satisfaction.
• Identify opportunities to expand scope, increase FTE count, and introduce additional processes.
• Lead business reviews with clear insights, growth roadmap, and value delivered.

2) Staff Augmentation Strategy and Workforce Planning

• Define staffing strategy including FTE sizing, role mix, and skill requirements.
• Translate client requirements into structured staffing plans.
• Design scalable team structures and reporting hierarchies.
• Establish frameworks for ramp up from small teams to large scale operations.
• Ensure optimal utilization and capacity planning.

3) Delivery Governance and Operational Excellence

• Oversee delivery across all teams ensuring SLA adherence and quality.
• Define KPIs for performance, productivity, and turnaround time.
• Establish governance cadence and reporting mechanisms.
• Ensure consistency across multiple processes and teams.
• Drive strong issue resolution and escalation handling.

4) Transition and Process Onboarding Oversight

• Guide onboarding of new processes into the staff augmentation model.
• Ensure structured knowledge transfer and documentation.
• Define standard onboarding playbooks.
• Identify risks and readiness gaps during expansion.

5) Organization Building and Talent Leadership

• Lead hiring strategy to support rapid scale up.
• Build strong leadership layers including managers and leads.
• Establish training, cross skilling, and career progression plans.
• Drive a high performance culture with clear accountability.

6) Business Ownership, Revenue Growth, and Financial Management

• Own the line of business including revenue, cost, and profitability.
• Drive revenue expansion by increasing FTE count and adding new processes.
• Define pricing aligned with effort and delivery complexity.
• Monitor revenue realization and billing accuracy.
• Manage cost structure including hiring, utilization, and overheads.
• Optimize FTE mix to balance cost and performance.
• Build financial models for workforce planning and growth.

7) Leadership, Team Development, and Organizational Scaling

• Mentor managers and team leads across processes.
• Build second line leadership.
• Establish performance expectations and review mechanisms.
• Drive ownership and continuous improvement culture.

8) Internal Reporting and Strategic Visibility

• Provide updates to leadership on revenue, cost, margins, and growth.
• Present challenges and mitigation plans.
• Track key business metrics such as utilization and productivity.
• Build dashboards for visibility.
• Support strategic decision making with insights and projections.

Success Measures

• Scale from initial team to 100 plus FTEs with stable delivery.
• High client satisfaction and strong relationships.
• Expansion across processes and geographies.
• Consistent SLA performance.
• Strong financial performance and margins.

Required Qualifications

• Bachelor’s degree in Commerce, Finance, or Business. MBA preferred.
• 12 to 18 plus years of relevant experience.
• Experience scaling teams and managing global clients.
• Strong workforce planning and governance experience.

Preferred Experience

• Exposure to finance operations such as Accounts Payable.
• Experience in offshore delivery models.
• Familiarity with SLA frameworks and staffing models.
• Experience scaling new business lines.

Competencies

• Strong ownership mindset.
• Excellent stakeholder management.
• Structured thinking and execution.
• Strong people leadership.
• Commercial awareness and growth orientation.

Reporting and Location

• Reporting to: Head of Operations or Business Unit Head
• Location: Bangalore or Mangalore with overlap for North America time zones

Responsible for handling Healthcare Recruiter from US based clients.

Responsible for full-cycle recruiting: interview, offer, negotiation and closed candidates for assigned requisitions.

Sourcing from Job Portal (Indeed), Making job postings on the Job Portal.

Must be having capability to work with a team or individually.

Maintain close contact with candidates/Vendors/ recruiters/offshore team.

Publish progress report to management every week.

Candidate should have worked on Healthcare requirements – Medical Assistant, CNA, RN, Nurse Practitioner, Physician.

Responsibilities :

• Manage the day-to-day operations including product content, site maintenance, Listing hygiene inventory availability, pricing and promotional activities, on-site content improvements, ensuring a perfect store online and the best consumer experience.
• Develop campaign strategies and audience targeting recommendations per brand and product line. Continually optimize product listings, brand store, and enhanced content
• Work cross-functionally with the sales team, PPC Managers  and other Amazon partners to drive incremental revenue and increase advertiser satisfaction
• Ability to deliver the highest level of customer service to our clients. See to it that the reports are sent to clients on time and according to the format that is set
• Make sure that the media plan is set after discussion with the analyst and PPC manager
• Manage Communication with the clients weekly as well as account wise, Keeping a track of all the ad campaigns &  deliverables list etc. 
• Develop strong relationships with Amazon vendor managers, partners and external agencies
• Maintain KPIs and report on performance to key stakeholders identifying risks and opportunities, making recommendations, and implementing the action plan.

Qualifications:

• MBA in marketing 
• Excellent oral and written communication skills, and an ability to influence internal and external partners
• A practical and creative approach to problem-solving

• Must be able to understand complex environments and projects, pay attention to details and maintain an organized workflow
• Excellent planning, project and time management, and decision-making skills with the ability to self-manage numerous projects simultaneously
• Prioritize and deliver timely, high-quality work

• Create and maintain optimal data pipeline architecture,
• Assemble large, complex data sets that meet functional / non-functional business requirements.
• Identify, design, and implement internal process improvements: automating manual processes, optimizing data delivery, re-designing infrastructure for greater scalability, etc.
• Build the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS ‘big data’ technologies.
• Build analytics tools that utilize the data pipeline to provide actionable insights into customer acquisition, operational efficiency and other key business performance metrics.
• Work with stakeholders including the Executive, Product, Data and Design teams to assist with data-related technical issues and support their data infrastructure needs.
• Keep our data separated and secure across national boundaries through multiple data centers and AWS regions.
• Create data tools for analytics and data scientist team members that assist them in building and optimizing our product into an innovative industry leader.
• Work with data and analytics experts to strive for greater functionality in our data systems.

• Advanced working SQL knowledge and experience working with relational databases, query authoring (SQL) as well as working familiarity with a variety of databases.
• Experience building and optimizing ‘big data’ data pipelines, architectures and data sets.
• Experience performing root cause analysis on internal and external data and processes to answer specific business questions and identify opportunities for improvement.
• Strong analytic skills related to working with unstructured datasets.
• Build processes supporting data transformation, data structures, metadata, dependency and workload management.
• A successful history of manipulating, processing and extracting value from large disconnected datasets.
• Working knowledge of message queuing, stream processing, and highly scalable ‘big data’ data stores.
• Strong project management and organizational skills.
• Experience supporting and working with cross-functional teams in a dynamic environment.
• We are looking for a candidate with 5+ years of experience in a Data Engineer role, who has attained a Graduate degree in Computer Science, Statistics, Informatics, Information Systems or another quantitative field. They should also have experience using the following software/tools: Experience with big
  • data tools: Hadoop, Spark, Kafka, etc.
  • Experience with relational SQL and NoSQL databases, including Postgres and Cassandra.
  • Experience with data pipeline and workflow management tools: Azkaban, Luigi, Airflow, etc.
  • Experience with AWS cloud services: EC2, EMR, RDS, Redshift
  • Experience with stream-processing systems: Storm, Spark-Streaming, etc.
  • Experience with object-oriented/object function scripting languages: Python, Java, C++, Scala, etc.