Chief Information Officer at A well known NGO based in Pune · Pune · 15 - 20 years · Posted 26 Jun 2023
About the Organisation:
Our client works in the area of skilling and livelihoods for underserved youth. This is a pioneering program with a strong PPP model, an agency-led approach to livelihoods and a vision of socio-economic transformation. They are run through a public-private partnership that empowers the Government, Corporates, NGOs and Citizens to work together towards changing lives. The provision of location and capital expenditure for the centres is taken care of by the Government. Corporates contribute through CSR funds to provide operational expenses. NGOs come on board to provide various skilling courses to the youth. With penetration in more than 400 of the 500 odd slum communities of Pune, the program has now expanded to other cities viz. PCMC, Dombivali, Aurangabad and also States viz. Delhi, Odisha,Hyderabad and upcoming in Ambivli.
About the role:
The CIO will work closely with the Program teams to fully understand the program landscape and implement technology and data solutions.
Your role to supplement the Organisational goals:
Develop a technology and data roadmap in line with the operational strategy and growth plan of the
organisation and in alignment with the Mission Cell, MEL (Monitoring, Evaluation and Learning)
framework and Programme Operations Team. (Timeline: Sep 2023)
Ensure that all key programs can be mapped onto common parameters and measures.
Create an overall technology and data architecture that outlines and connects key technology components.
Identify the processes/systems that need to be digitised/ created for enabling scale,including appropriate solutions.
Develop tools and processes for data collection, analysis and management within LCF
Monitor changes or advancements in technology to discover ways the company can gain competitive advantage (ongoing basis).
ERP System
Maintain and when required, develop, the existing ERP system. (Timeline: ongoing)
Develop and implement the next version of the organization’s ERP system including reports/
dashboards. (Timeline: Sep 2023 for finalization of BRD and initiation of development)
Support with, and track, adoption across the organization
Partnerships
Identify and engage with technology partner(s) to design and implement the solutions for
effective program and data management. (varying timelines as per solution)
Establish partnerships with IT providers
Infrastructure
Oversee the technological infrastructure (networks and computer systems) in the organization
to ensure optimal performance
Establish a process for and approve, purchases of technological equipment and software
Security
Analyze the costs, value and risks of various aspects of IT implementation to advise
management and suggest actions
Data Management and Analytics
Design automated reporting formats for reporting to key stakeholders such as Government,
donors and board of directors.)
Analyse, synthesize, and produce key insights from the data that can inform the approach and
design improvisations in the program
Data and knowledge management
Lead the overall knowledge management system for the organization and enable data to be available on cloud with clear protocol for sharing and storage, such that security and confidentiality are assured.
Finalization of Data Protection and Management Policy, training of relevant team members, implementation and compliance tracking.
Who we are looking for:
● Education : Masters in Information Technology
● Experience: Minimum 15+ years of experience
● IT skills – familiarity with modern databases and IT systems.
● Analytical skills
● Problem-solving skills
● Partnership management
● Communication skills – must have an excellent verbal and written communication skills.
● High social intelligence : able to engage teams, create relationships of trust with stakeholders.
● Able to reflect, empathetic and a good listener.
● Experience in Need Identification, Project Management, Stakeholder Management
● Ability to manage multiple projects and stay on deadline.
● Proficiency in Microsoft Office programs, including Word, Excel and PowerPoint

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Role Overview
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Key Responsibilities • Deliver end-to-end data science projects by applying Machine Learning and Deep Learning fundamentals to solve complex problems • Derive actionable insights for a variety of problems, industries, and domains using statistical analysis and advanced data science techniques • Develop high-quality software solutions with Python and other programming languages. Collaborate with developers to understand and improve existing code or create new solutions • Build and deploy production-ready LLM applications using modern frameworks and best practices • Design and implement RAG (Retrieval-Augmented Generation) architectures using vector databases and embedding models • Perform prompt engineering and optimization to maximize LLM performance for specific use cases • Implement agentic AI systems and multi-agent workflows for complex automation tasks • Evaluate and benchmark LLM outputs using appropriate metrics and testing frameworks • Build sophisticated data pipelines for large-scale data processing using modern orchestration tools • Optimize database performance and create efficient SQL queries • Deploy and monitor ML models in production using MLOps practices and containerization • Practice active listening to understand project requirements and team inputs • Collaborate with clients to translate business requirements into data science solutions • Communicate complex ideas and results clearly to stakeholders through both verbal and written formats • Apply responsible AI principles and ensure ethical considerations in model development • Demonstrate punctuality and a strong sense of ownership in all tasks • Plan strategically and multitask efficiently to meet project deadlines • Employ critical thinking to break down problems and debug effectively • Take initiative and be biased towards action to drive project progress Required Skills Core Programming & ML • Strong Python programming skills with hands-on project experience • Expertise in Machine Learning and Deep Learning algorithms (Random Forests, GBMs, Neural Networks, CNNs, RNNs, Transformers, Ensemble methods) • Proficiency in TensorFlow or PyTorch, along with scikit-learn and pandas • Familiarity with modern ML techniques: Transfer Learning, Few-shot Learning, Self-supervised Learning • Experience with NLP, Computer Vision, or Time Series Analysis Generative AI & LLMs • Hands-on experience with LLM providers (OpenAI, Anthropic Claude, Google Gemini, or open-source models) • Proficiency with GenAI orchestration frameworks (LangChain, LangGraph, LlamaIndex, or DSPy) • Experience building RAG applications with vector databases (Pinecone, Weaviate, Chroma, FAISS) • Strong prompt engineering skills and understanding of prompt optimization techniques • Knowledge of fine-tuning techniques (LoRA, QLoRA) and when to apply them • Understanding of LLM evaluation metrics and benchmarking methodologies • Familiarity with agentic AI architectures and multi-agent systems MLOps & Deployment • Experience with MLOps practices and tools (MLflow, Kubeflow, Weights & Biases) • Proficiency with containerization using Docker and orchestration with Kubernetes • Experience with cloud platforms (AWS, Azure, or GCP) for ML model deployment and monitoring • Understanding of CI/CD pipelines for ML applications • Knowledge of model serving frameworks and API development (FastAPI, Flask, or Django) Data Engineering & Databases • Solid understanding of SQL, including advanced concepts like windowing functions and query optimization • Experience with data pipeline orchestration tools (Airflow, Prefect, or similar) • Familiarity with both SQL and NoSQL databases Soft Skills & Professional Attributes • Strong critical thinking and problem-solving skills • Excellent written and verbal communication abilities • Demonstrated ability to work well in a team and independently • High degree of flexibility and adaptability to rapidly evolving technologies • Understanding of AI safety principles and responsible AI practices
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Link for application - https://forms.gle/9GENVfPeXdtgi7Zj7
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What you need to have:- Any Graduation
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Sr. PO/PMO
Essential support to a project, working with the Product Manager and other team members to
achieve project success. Project Officers work in almost every field – construction, communications,
education, sales – anywhere that projects are undertaken. Exact responsibilities will vary by project
and industry, but key component of a Project Officers’ roles include administrative and technological
skills. Project Officers answer directly to a Product Manager.
Duties and Responsibilities
To accomplish their primary goal of providing administrative and technical skills to support a project
to success, Project Officers perform many duties. We analyzed several job listings to identify these
core Project Officer duties and responsibilities.
Organize Project Meetings
Maintain Technical Documents or Epic & User Stories
Identify Problems or Risks
Manage the Schedule or Sprint
Collating contracts, timesheets and reports
Drafting presentations and formatting documents
Supporting senior team members with administrative functions
Facilitating project communications
Skills
An analytical thinker with excellent problem-solving skills, a successful Project Officer is able to
multi-task in a high volume, fast-pace work environment. They are team players with a high level of
self-motivation and ability to set and meet goals.
Thorough familiarity with word processing, spreadsheet, Power-point and project scheduling
computer applications like Teamwork, Visio, Jira, Monday
Ability to work effectively as a team member and independently,
Ability to manage multiple priorities under pressure, trouble-shoot, and to meet short- and
long-term deadlines
Demonstrated experience in protect team from external interference
Excellent written and verbal communication skills
Excellent critical and creative thinking and analytical skills
Emotional Intelligence
Analytical Skill & Reasoning Skill
Typical Education
Bachelor's degree or equivalent combination of education and experience
Typical Range of Experience
3-5 years of directly related experience in Product Based Company








