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Position: AI Knowledge Manager

Department: Founder's Office

Reports to: Founder

Employment Type: Full-time

Position Overview:

MyOperator seeks a strategic AI Knowledge Manager to join our Founder's Office team. This role is responsible for managing and organising information that powers our AI systems, chatbots, and internal collaboration platforms. You will serve as the central architect of our organisational knowledge ecosystem, ensuring information is effectively structured and accessible for both customer-facing AI interactions and internal operations.

The position requires critical thinking, analytical abilities, and collaborative skills to identify, capture, and organise knowledge from across departments into a unified, AI-ready knowledge management system. This knowledge will become the central repository for documentation and process understanding, directly impacting how our AI systems learn, adapt, and serve customers.

Key Responsibilities:

• Knowledge Architecture & AI Integration - Develop AI-aligned knowledge management strategies, taxonomies, and information hierarchies. Optimise knowledge assets for AI processing (NLP, semantic tagging). Implement knowledge APIs.
• Cross-Departmental Knowledge Capture - Liaison between departments to identify, extract, and document critical organisational knowledge (explicit and tacit). Conduct interviews with SMEs. Develop standardised documentation.
• AI Performance Optimisation - Improve chatbot/AI performance via knowledge enhancement. Analyse conversation logs for knowledge gaps. Establish AI performance metrics and testing protocols (A/B testing, correlation). Implement feedback loops.
• Knowledge Quality & Platform Management - Maintain rigorous knowledge quality standards (review, approval, audit). Select and manage knowledge management platforms. Oversee technical configuration (search optimisation, access controls, integrations). Ensure infrastructure performance.
• Continuous Improvement & Gap Analysis - Evaluate chatbot performance and identify AI knowledge gaps. Develop strategies to address deficiencies. Create KPIs for knowledge adoption, utilisation, and AI performance correlation. Drive a culture of knowledge sharing.
• Essential Skills - Critical Thinking & Analysis: Exceptional analytical capabilities with the ability to break down complex processes into structured, documentable components. Strong problem-solving skills for diagnosing AI performance issues and developing targeted interventions.
• Communication & Collaboration: Outstanding interpersonal skills for conducting productive interviews with subject matter experts across all organisational levels. Excellent written communication for creating clear documentation serving both human and AI users.
• Project Management: Strong organisational skills for coordinating complex knowledge management initiatives across multiple departments. Ability to manage concurrent projects while maintaining quality standards.
• Change Management: Skills to drive adoption of new knowledge management processes and technologies. Ability to influence without direct authority and build consensus around knowledge initiatives.

Success Metrics:

• AI Performance: Measurable improvements in chatbot first-contact resolution rates, reduced escalation rates, and enhanced customer satisfaction scores.
• Knowledge Coverage: Achievement of target knowledge base completeness across business domains and reduction in identified knowledge gaps.
• Organisational Adoption: Increased participation rates from departments, sustainable knowledge contribution workflows, and improved utilisation of knowledge management tools.
• Operational Efficiency: Reduced time spent searching for information, decreased training time for new employees, and demonstrated ROI on knowledge management investments.

What We Offer:

• Direct exposure to strategic decision-making as part of the Founder's Office team.
• Opportunity to shape the technological direction of a growing company.
• Access to cutting-edge AI and knowledge management technologies
• Professional development resources, including conferences, certifications, and training.
• Competitive compensation package with performance bonuses and equity participation.
• Comprehensive benefits and flexible working arrangements.

About the Role:

We are seeking a talented Lead Data Engineer to join our team and play a pivotal role in transforming raw data into valuable insights. As a Data Engineer, you will design, develop, and maintain robust data pipelines and infrastructure to support our organization's analytics and decision-making processes.

Responsibilities:

• Data Pipeline Development: Build and maintain scalable data pipelines to extract, transform, and load (ETL) data from various sources (e.g., databases, APIs, files) into data warehouses or data lakes.
• Data Infrastructure: Design, implement, and manage data infrastructure components, including data warehouses, data lakes, and data marts.
• Data Quality: Ensure data quality by implementing data validation, cleansing, and standardization processes.
• Team Management: Able to handle team.
• Performance Optimization: Optimize data pipelines and infrastructure for performance and efficiency.
• Collaboration: Collaborate with data analysts, scientists, and business stakeholders to understand their data needs and translate them into technical requirements.
• Tool and Technology Selection: Evaluate and select appropriate data engineering tools and technologies (e.g., SQL, Python, Spark, Hadoop, cloud platforms).
• Documentation: Create and maintain clear and comprehensive documentation for data pipelines, infrastructure, and processes.

Skills:

• Strong proficiency in SQL and at least one programming language (e.g., Python, Java).
• Experience with data warehousing and data lake technologies (e.g., Snowflake, AWS Redshift, Databricks).
• Knowledge of cloud platforms (e.g., AWS, GCP, Azure) and cloud-based data services.
• Understanding of data modeling and data architecture concepts.
• Experience with ETL/ELT tools and frameworks.
• Excellent problem-solving and analytical skills.
• Ability to work independently and as part of a team.

Preferred Qualifications:

• Experience with real-time data processing and streaming technologies (e.g., Kafka, Flink).
• Knowledge of machine learning and artificial intelligence concepts.
• Experience with data visualization tools (e.g., Tableau, Power BI).
• Certification in cloud platforms or data engineering.

Job Responsibilities -

● Identifying and onboarding the potential DSAs and Channel partners from open market

● Build and strengthen relationships with new and existing partners to drive business targets

● Provide day to day operational support to your channel partners

● Responsible for driving monthly sales targets and respective business metrics

Job Requirements -

● Excellent sales skills, e.g. rapport building and negotiation skills

● Good written and verbal communication skills

● Should have prior experience in NBFC and DSA preferably in mortgages (Home loan and

LAP)

● Own Conveyance and strong local industry network are preferred for this role

● Fluency in the regional language will be an additional benefit

Business Intelligence Consultant – Qlik

Role

·      Working through customer specifications and develop solutions in line with defined requirements

·      Strategizing and ideating the solution design (create prototypes and/or wireframes) before beginning to create the application or solution.

·      Creating load scripts and QVDs to support dashboards.

·      Creating data models in Qlik Sense to support dashboards.

·      Leading data discovery, assessment, analysis, modeling and mapping efforts for Qlik dashboards.

·      Develop visual reports, dashboards and KPI scorecards using Qlik

·      Connecting to data sources ( MS SQL SERVER, ORACLE, SAP), importing data and transforming data for Business Intelligence.

·      Translating data into informative visuals and reports.

·      Developing, publishing and scheduling reports as per the business requirements.

·      Implementing application security layer models in Qlik

 Skills Required

·      Knowledge of data visualization and data analytics principles and skills –including good user experience/UI Design

·      Hands-on developer on Qlik Sense development

·      Knowledge of writing SQL queries

·      Exceptional analytical skills, problem-solving skills and excellent communication skills

 Qualifications 

1.      Degree in Computer Science Engineering disciplines or MCA

2.      2-4 years of hands-on Qlik experience

3.      Qlik Sense certification would be preferred

Your Job Role

• Write clean, scalable code using .NET Framework
• Remain up to date with the terminology, concepts, and best practices for coding.
• Develop technical interfaces, specifications, and architecture
• Use and adapt existing web applications for apps
• Create and test software prototypes
• Develop client displays and user interfaces
• Assist software personnel in handling project-related work and other requirements
• Coordinate with other software professionals and developers

What are requirements

• Familiarity with the ASP.NET framework, SQL Server, and design/architectural patterns (e.g. Model-View-Controller (MVC)
• Min 3 years experience 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

Other Details

Experience required- 3+ years

Job Location- Noida (Onsite)

Job Type- Full time

Desired Candidate Profile

# Proficiency in Java, Kotlin, or C++

# Ability to use the Android Studio, including the Android SDK, with ease

# Prior experience as an Android Developer will be advantageous

# Excellent coding and proofreading skills