Posted:1 week ago|
Platform:
On-site
Full Time
Interesting candidates share your resume to sugapriya.s@impactanalytics.co
Impact Analytics™ (Series D Funded) delivers AI-native SaaS solutions and consulting services that help companies maximize profitability and customer satisfaction through deeper data insights and predictive analytics. With a fully integrated, end-to-end platform for planning, forecasting, merchandising, pricing, and promotions, Impact Analytics empowers companies to make smarter decisions based on real-time insights rather than relying on last year’s inputs to forecast and plan this year’s business. Powered by over one million machine learning models, Impact Analytics has been leading AI innovation for a decade, setting new benchmarks in forecasting, planning, and operational excellence across the retail, grocery, manufacturing, and CPG sectors. In 2025, Impact Analytics is at the forefront of the Agentic AI revolution, delivering autonomous solutions that enable businesses to adapt in real time, optimize operations, and drive profitability without manual intervention.
The role would require you to envision and lead the building of sophisticated AI/ML/data science-based models and products that add value to the client and result in new projects and revenue streams.
This role will entail two focus areas:
IA works with a variety of clients in the retail, CPG, and supply chain space. You will work with the clients and client-facing senior onshore team members to understand the nuances of the problem statement. Based on the problem statement, you will help define the solution – The solution may lie in an AI/ML-based modelling approach or in building a product based on client use cases. In most cases, with the help of the AI/ML team, you will help build some of the most complex AI/ML models which will help our clients solve their business problems. Alternatively, you may be involved in active product delivery as well as client discussions, where you will own the roadmap for one of our fast-growing products.
We are a product company – Every model build will ideally be improved and plugged into a product. You will work with the product engineering teams to enable and drive product deployments for our new clients as per the agreed timelines & deadlines. Coordination with multiple teams – Engineering, Design, Testing, Data Science, and Client Engagement will be required to ensure timely & appropriate product delivery.
Interact with Impact Analytics’ clients and onshore teams, and understand business requirements and opportunities for AI/ML modeling and productization
Provide leadership and guidance to Analytics and sometimes to the Engineering team in executing analytics, product, and AI components
Drive the analysis in the right direction o Lead problem definition and solution design for a client problem statement
Lead building of advanced AI/ML/Data science models to help solve client problem
Guiding the team during the building of the model and ensuring the quality of the output
Build an effective roadmap to prioritize important features while considering the business impact and ROI
Take high-level feature proposals and customer problems and break them into small iterations that engineering can work on
Balance new features, improvements, and bugfixes to ensure a high velocity and a stable product
Create and maintain a vision for the product
Innovate within your product area by proposing ambitious features
Communicate and evangelize your product vision
Provide feedback and guidance to engineers and designers to ensure everyone is aligned
Be the voice of the customer for your group o Collaborate with other Product Managers, UX, and Engineers in cross-area features to build a single application
Contribute to documentation, blog posts, demos, and marketing materials for product features
Drive teams to acquire necessary data to back assumptions show value, and drive prioritization
● An opportunity to be part of some of the best enterprise SaaS products to be built
● Opportunities to quench your thirst for problem-solving, experimenting, learning, and implementing innovative solutions
● A flat, collegial work environment, with a work hard, play hard attitude
● Remuneration with best-in-class industry standards with generous health insurance cover
Impact Analytics
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