Location: Bangalore, Pune & Hyderabad
AI Technical Manager with extensive experience in AI tools
15 years of overall experience and minimum 7 years of experience as Technical Manager
- Extensive hands-on experience as an architect/ technical lead in at least one or two of the specified domains within the Oracle technology stack:
Analytics – OAC, ODI & Oracle BI tools
Integration – OIC, SOA
Extension Development – VBCS, APEX, JAVA
AI
- Proficiency/ expertise in GenAI, RAG, LLMs, AI governance, prompt engineering, evaluation, or AI project delivery is desired
- Strong expertise in end-to-end solutions, with the ability to strategize and execute projects effectively
- Define and manage project scope, objectives, and deliverables in alignment with organizational and customer goals; proactively identify risks, dependencies, and commercial considerations, and collaborate with stakeholders to drive timely resolution.
- Considerable experience in following Agile development methodologies and best practices.
- Hands-on experience with collaboration tools such as Jira, along with leveraging AI-driven tools (e.g., ChatGPT) to enhance productivity, reporting, and decision-making.
- Lead technical delivery with a strong focus on customer outcomes, ensuring tasks are executed efficiently, meet quality standards, and deliver measurable business value.
- Champion innovation and continuous improvement by encouraging the adoption of modern technologies, agile methodologies, and industry best practices to enhance team productivity and delivery excellence.
- Exhibit excellent communication, facilitation, and interpersonal skills, with the ability to clearly articulate complex technical and business concepts; highly proficient in creating impactful presentations and reports using tools such as MS Word, PowerPoint, and Excel.
- Ability to track governance, risks, change control, and compliance checkpoints to ensure alignment with organizational and customer standards.
- Define and track delivery, quality, budget, and business outcome metrics to support transparency and timely decisions.
- Provide concise, data-driven status updates to executive management covering progress, risks, dependencies, decisions, and key actions.
- Maintain a customer-first mindset, ensuring consistent stakeholder engagement, transparent communication, and high levels of customer satisfaction throughout the project lifecycle.
