Description :

We are looking for a high-impact Technical Business Analyst to bridge advanced AI capabilities with tangible business outcomes. This is not a traditional BA roleyou will play a pivotal role in shaping how AI drives efficiency, revenue, and competitive advantage across the organization.

Working at the intersection of Data Science, Engineering, and Business Leadership, you will translate emerging AI possibilities into scalable, production-ready solutions that deliver measurable ROI. You will actively contribute to enterprise-wide transformation initiatives, influencing both strategy and execution.

Key Responsibilities :

Strategic Roadmapping :

- Identify and prioritize high-value opportunities for AI/ML adoption (e.g., Generative AI, predictive analytics, process automation) in collaboration with cross-functional stakeholders.

Technical Translation :

- Convert complex and ambiguous business needs into clear technical artifacts, including user stories, functional specifications, and data flow diagrams.

Process Transformation & Gap Analysis :

- Analyze current business processes and design optimized, AI-enabled workflows to improve efficiency, reduce costs, and enhance user experience.

Data Governance & Responsible AI :

- Partner with legal, compliance, and security teams to ensure adherence to data privacy, governance, and ethical AI standards.

Value Realization & Performance Tracking :

- Define KPIs and success metrics; ensure AI initiatives progress beyond proof-of-concept to scalable, production-grade deployments with measurable impact.

Change Enablement :

- Drive adoption of AI solutions by working closely with business teams, simplifying complex concepts, and minimizing resistance during transitions.

Requirements :

Required Skills & Qualifications :

- Bachelors or Masters degree in Computer Science, Data Analytics, Business, or a related field

- 5+ years of experience as a Technical Business Analyst

- At least 2 years of experience working on AI/ML or digital transformation initiatives

- Strong understanding of the AI/ML lifecycle (data ingestion, feature engineering, model development, deployment, and monitoring)

- Familiarity with Generative AI, NLP, and/or Computer Vision use cases

- Experience working with cloud platforms (AWS, Azure, or GCP) and integrating AI services into enterprise systems

- Proficiency in SQL and data analysis; ability to derive insights and present them effectively using visualization tools (e.g., QuickSight or similar)

- Hands-on experience with Agile/Scrum methodologies, including tools like Jira and Confluence

- Knowledge of Lean, Six Sigma, or similar process improvement frameworks

- Expertise in creating SOPs, process documentation, and API documentation

- Strong ability to challenge assumptions and influence stakeholders using data-driven insights

- Excellent communication skills with the ability to translate technical concepts for non-technical audiences