
Job Description
Ovii's Interpretation of the Role
We need a Technical Project Manager to own end‑to‑end delivery of AI/ML, data engineering and digital transformation initiatives. The role drives cross‑functional collaboration, manages budgets and timelines, and ensures high‑quality, compliant software releases.
Role Snapshot
- Lead AI/ML and data‑engineering project delivery
- Drive cross‑functional collaboration across technical and business teams
- Own full SDLC execution, budgeting and schedule control
- Ensure software quality, security and regulatory compliance
- Facilitate stakeholder communication and executive reporting
Must-Have Requirements
- Agile, Kanban, Waterfall methodologies
- SDLC knowledge
- Project estimation, planning, monitoring, reporting
- JIRA, MS Project, SharePoint
- AI/ML lifecycle understanding
- complex software development project management
- Agile methodologies
Nice-to-Have Signals
- AI governance, Responsible AI, data‑privacy, regulatory compliance
- Cloud platforms (Azure) and distributed systems
- Power BI, Tableau, SQL Server
- AS400, Blue Yonder
- General familiarity with cloud technologies and distributed systems
- AI/ML lifecycle
- MLOps
- cloud and big‑data technologies
- high‑tech
- communication
- media
- healthcare
- retail
- telecom
Work Setup
- Location: Hyderabad, India
- Work mode: ONSITE
- Employment type: Full-Time
Not Specified in JD
- Visa sponsorship
- Salary range
- Remote eligibility
- Education requirement
- Certifications
- Relocation
- Notice period
- Travel
- Security clearance
- Coding test
- Portfolio
- GitHub
- Writing sample
- Cover letter
What You'll Likely Work On
- Lead end‑to‑end delivery of AI/ML, data engineering and digital transformation projects from initiation to production deployment
- Coordinate cross‑functional teams of AI engineers, data scientists, developers, MLOps engineers, cloud architects and business stakeholders
- Gather and analyse requirements, author business requirement documents and translate them into technical solutions
- Prioritize project backlog with product managers and executives based on company goals
- Apply Agile, Kanban, Waterfall or hybrid approaches to plan, execute, monitor and close projects within scope and budget
- Manage risk, conduct root‑cause analysis for critical incidents and drive corrective actions
- Ensure performance, scalability, reliability and security standards are met
- Report project status, financials and key metrics to senior leadership
Good Fit If You Have
- Familiarity with AI governance, Responsible AI and data‑privacy regulations
- Experience delivering web, mobile or IoT solutions
- Knowledge of legacy platforms such as AS400 or Blue Yonder
- Comfort working with distributed systems and cloud technologies
Skills
- Agile, Kanban & Waterfall methodologies
- SDLC planning & execution
- Project estimation, monitoring & status reporting
- JIRA, MS Project & SharePoint
- AI/ML lifecycle knowledge (Gen‑AI, LLMs, NLP, CV)
- Cloud & big‑data platforms (Azure, Power BI, Tableau, SQL Server)
- Stakeholder & executive communication