Empowering Growth Transforming Futures

We are looking for a Principal Technology – Data Product/Solutions Manager to lead the delivery and evolution of data-driven solutions/product for the BFSI ecosystem. This role sits at the intersection of engineering, analytics, product thinking, and technical solution design — working closely with engineering, analytics, and business teams to translate complex financial use cases into scalable data-powered solutions comprising underwriting, risk, valuation, compliance, and decision intelligence for financial institutions.

You will lead the design and work alongside Engineering/Analysts to drive execution and solution delivery, while identifying opportunities to convert client-driven solutions into reusable products and platform capabilities.

This is a build-and-deliver role focused on individual contribution, ownership, collaboration, and solution impact — ideal for some

Key Responsibilities:

• Data Product/Solution Ownership & Delivery used by banks, NBFCs, and fintechs for real financial decisions
  • Lead end-to-end delivery of data-backed solutions for BFSI clients — from requirement discovery through implementation, validation, and rollout.
  • Work closely with business, solution, and engineering teams to translate underwriting, risk, valuation, compliance, and decision intelligence needs into practical solution designs.
  • Drive roadmap execution for data platforms supporting credit risk, fraud, pricing, portfolio analytics, and reporting
  • Drive structured problem-solving and ensure timely delivery of scalable and reliable solutions.
• Productization & Platform Evolution:
  • Identify recurring patterns across client engagements and propose opportunities for reusable data services, workflows, and product capabilities.
  • Contribute to defining roadmap priorities by aligning delivery insights with long-term product vision.
  • Identify emerging opportunities in the open-data ecosystem and translate them into a multi-quarter product roadmap for BFSI
• Data Solution Design (Collaborative):
  • Define data workflows, integration approaches, and solution structures in collaboration with engineering teams.
  • Ensure data quality, governance awareness, and compliance considerations are incorporated into solution delivery.
  • Work with engineering teams to integrate structured and unstructured data sources including BFSI systems, third-party APIs, and geospatial datasets where applicable.
  • Develop and maintain efficient schemas, data models, and pipelines to support analytical and transactional use cases
  • Lead ETL development, orchestration, and performance tuning for large-scale financial datasets
  • Metadata Management: Managing metadata to provide context and meaning to data assets, enhancing data usability.
  • Data Mapping: Creating data mapping documents to outline the relationships and transformations between various data sources.
  • Indexing: Implementing indexing strategies to enhance data retrieval performance and query efficiency.

Key Result Areas:

• Successful delivery of BFSI-focused data solutions/product aligned with business objectives.
• Clear translation of business requirements into executable technical plans.
• Identification of productization opportunities emerging from delivery engagements.
• Strong stakeholder confidence through structured communication and ownership

Skills & Qualification:

• Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
• 5–8 years of experience in data-driven solution delivery, technical business analysis, or technology project leadership — ideally within BFSI or fintech.
• Strong understanding of data platforms, APIs, and analytics-driven workflows.
• Experience working with cross-functional teams across engineering, product, and business domains.
• Familiarity with data integration concepts, data modeling principles, and scalable solution architectures.
• Exposure to geospatial or location intelligence solutions is a plus.
• Excellent communication, structured thinking, and presentation skills

What We Value:

• You have an aptitude for solving real problems.
• Strong collaboration and communication skills.
• Desire for continuous discovery, learning and applying knowledge for improving product & solution quality.
• You value the impact that your work brings to an organization.

We are seeking a skilled business strategist to create a detailed and comprehensive business plan for targeting various departments of the sector. This prerequisites an understanding of operations, market trends, and the ability to identify opportunities for collaboration, partnership, and growth across multiple sectors. The ideal candidate will be responsible for developing a strategic approach to engage key decision-makers, understand departmental goals, and propose tailored solutions to drive revenue and strengthen relationships.

Furthermore, you will leverage your expertise in analysis techniques, coupled with your written & oral communication skills, to derive insights that drive business value for our customers.

Key Responsibilities:

• Market Analysis & Research:
  • Conduct thorough research on the sector, identifying emerging trends, challenges, and opportunities. More specifically create a repository of all the products, services, journeys that consume location intelligence.
  • Analyze and profile key departments e.g. for retail deep dive into market expansion, supply chain optimization
  • Gather insights into industry strategies and identify gaps and opportunities for targeting specific use-cases/ departments.
  • Evaluate external data sources and data sets to create API based integrations/ new products.
• Business Plan Development:
  • Develop an in-depth understanding of each department’s unique challenges, objectives, and budget considerations
  • Create a detailed business plan to target various departments, including specific goals, strategies, and measurable outcomes.
  • Propose tailored solutions, products, or services to meet the needs of each department, use-case, sector, enhancing
  • Operational efficiency, profitability, or customer experience
  • Outline the steps for engagement, relationship-building, and long-term collaboration with each department.
• Client servicing:
  • Some experience in client cold calling
  • Experience in some pre-sales from any sector
• Marketing Content:
  • Create a repository of target players and stakeholders
  • Proactively build sector specific / use-case specific content for channels – in-person presentations; website; social media; newsletters
  • Test content efficacy to improve messaging for target audience keeping senior stakeholders

Must Have:

• Bachelor’s degree in STEM, economics, business management
• 3-5 years prior experience
• Experience of handling desk research using multiple sources is necessary
• Must demonstrate keen understanding of commercialization & business; adept at creating business canvas
• Exceptional written communication skills & strong attention to detail
• Creative and strategic thinking skills

Nice to have:

• Knowledge of geospatial data analysis and Spatial data science
• Keen Interest in Retail, FMCG, Manufacturing

What We Value:

• You have an aptitude for solving real problems.
• Strong collaboration and communication skills.
• Desire for continuous discovery, learning and applying knowledge for improving product & solution quality.
• You value the impact that your work brings to an organization.

What you’ll Do:

We are seeking a Backend Software Engineer (around 5 years’ experience) to join our team at ClarityX. As a Backend Software Engineer, you will be responsible for designing, building, deploying, and operating backend systems and data pipelines that power our products. You will work closely with product and data teams to deliver scalable, reliable, and production-ready solutions.
This role is ideal for a self-starter engineer who can take ownership from day one and thrives in a fast-paced startup environment with minimal handholding

Key Responsibilities:

• Build and maintain RESTful APIs following best practices for security, performance, versioning, and documentation (Swagger / OpenAPI)
• Design and implement scalable data pipelines for ingestion, processing, and storage of structured and semi-structured data
• Ensuring seamless integration of data from various sources, including NoSQL databases and cloud data services, to support comprehensive analytics.
• Ensure Security of the Application / Product is covered by Design including OWASP principles.
• Work with SQL-based databases (PostgreSQL/MySQL/SQLite), including schema design, query optimization, and performance tuning
• Collaborate with product and frontend teams to define backend and data requirements
• Implement authentication, authorization, validation, logging, and error handling in backend systems
• Containerize applications using Docker and support deployments across environments
• Actively manage and operate backend services on cloud platforms (AWS, GCP, or Azure), including compute, storage, networking, and IAM basics
• Monitor, troubleshoot, and optimize production systems for reliability, scalability, and performance
• Use Git for version control, code reviews, and collaborative development
• Contribute to architectural discussions and backend engineering standards
• Proactively identify opportunities to improve system design, scalability, and developer productivity
• You will design and construct robust data architectures that align with business requirements and ensure efficient data flow and accessibility.

Must Have:

• 3-5 years of hands-on experience in backend software engineering
• Strong proficiency in Python
• Practical experience with backend frameworks: Django, Flask, or FastAPI
• Solid understanding of RESTful API development, HTTP/HTTPS, JSON, and API documentation (Swagger/OpenAPI)
• Strong experience with SQL databases such as PostgreSQL, MySQL, or SQLite
• Hands-on experience designing or maintaining data pipelines (ETL / ELT workflows)
• Working knowledge of Docker and containerized application deployment
• Hands-on experience with at least one cloud platform preferably AWS
• Proficiency with Git and modern development workflows

Nice to have:

• Experience with asynchronous processing, background jobs, or message queues
• Exposure to workflow orchestration or scheduling tools for data pipelines
• Familiarity with monitoring, logging, and alerting tools
• Experience working with large datasets or performance-sensitive systems
• Understanding of CI/CD pipelines and basic infrastructure automation
• Prior experience in a startup or high-growth environment
• Bachelor’s degree in computer science, Engineering, or a related field is a plus but not mandatory

Soft Skills:

• Strong ownership mindset with a bias toward execution
• Ability to work independently with minimal supervision
• Clear communication of technical decisions and trade-offs
• Comfort working in ambiguous and evolving problem spaces
• Strong collaboration skills across engineering and product teams

What We Value:

• You have an aptitude for solving real problems
• Strong collaboration and communication skills
• Desire for continuous discovery, learning, and applying knowledge to improve product and solution quality
• You value the impact that your work brings to an organization

What you’ll Do:

We are looking for a skilled Data Scientist to join the team at ClarityX. In this role, you will be responsible for managing the complete data science lifecycle, from data collection and cleaning to model development and deployment. You will collaborate with stakeholders to understand their needs and deliver data-driven solutions that enable informed decision-making. Using advanced analysis techniques and programming skills, you will uncover insights that drive business value for our clients.

Key Responsibilities:

• Collaborate with stakeholders to understand business problems and gather relevant datasets from open and proprietary sources.
• Conduct exploratory data analysis and feature engineering to curate datasets from both static and dynamic data sources.
• Utilize various data collection techniques, such as API-based data extraction.
• Develop and implement machine learning models and algorithms to address business challenges.
• Build and maintain data pipelines to ensure efficient data processing.
• Ensure the accuracy and quality of all data science deliverables.
• Communicate findings effectively with stakeholders across all levels.
• Stay updated on the latest trends and advancements in data science.

Must Have:

• Bachelor’s degree in Data Science, Statistics, Computer Science, or a related field.
• 2-3 years of experience in executing data science projects and delivering 1-2 data science products/solutions.
• Strong knowledge of algorithms, data structures, and proficiency in Python, SQL, and MS Excel.
• Hands-on experience with ETL tools and statistical/machine learning models.
• Ability to build well-structured, testable, and maintainable solutions.

Nice to have:

• Exposure to geospatial data analysis and spatial data science.
• Experience with geospatial database systems (e.g., PostGIS).
• Familiarity with cloud computing platforms (AWS, Azure, GCP) and deploying models on them.
• Experience with CI/CD processes for product deployment.
• Proficiency in creating dashboards on PowerBI or Tableau.

What We Value:

• A problem-solving mindset with a passion for addressing real-world challenges.
• Strong collaboration and communication skills.
• Familiarity with cloud computing platforms (AWS, Azure, GCP) and deploying models on them.
• A commitment to continuous learning and applying knowledge to enhance product and solution quality.
• A focus on making a measurable impact on the organization.