Unique Occupational

Role: Portfolio & Product Management Office

Experience: 4-6 Years

Employment Type: Full-time 

Location: Hyderabad (Hybrid)

Job Summary

This role supports the ATA Portfolio & Product Management team by delivering governance, financial oversight, and operational control across portfolios, programs, and projects. The role also takes ownership of Clarity PPM administration, financial reporting, and demand intake processes, ensuring compliance with ATA governance standards and PMO best practices.

Required Skills

Must-Haves

• Bachelor’s or Master’s degree in Business Administration, Engineering, or related field.
• Advanced proficiency in Excel (PivotTables, PowerQuery, advanced formulas, dashboards).
• Strong skills in data analytics and Power BI.
• Experience in operational reporting and KPI tracking.
• Knowledge of project management concepts.

Preferred

• Exposure to portfolio reporting and financial variance analysis.
• Familiarity with ATA governance processes and demand intake workflows.
• Experience with SharePoint libraries and PowerPoint presentations.

Work Experience

• 4–6 years of proven experience in project management, PMO, portfolio reporting, or a similar role.

Tools

• Experience in project management tools, preferably Clarity PPM.
• Advanced Microsoft Excel, Teams, SharePoint.
• Power BI.

ATA-Specific Competencies

• Governance mindset with adherence to ATA PMO standards and process improvement.
• Analytical rigor with the ability to generate actionable insights from complex datasets.
• Technical proficiency in advanced Excel analytics and Power BI dashboards.

Key Behavioral Attributes

• Proficient with project management concepts.
• Strong oral and written communication skills with the ability to communicate technical and non-technical concepts to stakeholders.
• Ability to work independently with minimal supervision and escalate when needed.
• Strong decision-making capability and ability to collaborate with cross-functional teams.
• Excellent presentation and interpersonal skills.
• Strong analytical and problem-solving abilities with attention to detail.
• Good planning and organizing skills.
• Focus on timely delivery of governance checkpoints and reporting cycles.
• Focus on improvement in data quality and process efficiency.

Key Roles & Responsibilities

Operational Reporting & Analytics

• Develop and maintain portfolio dashboards and status reports using advanced Excel and Power BI.
• Publish weekly portfolio reports, month-end actuals, and forecast updates for leadership.

KPI Tracking

• Track and report key performance indicators for ATA portfolios and projects.

Data Insights

• Analyze data to generate actionable insights for leadership and support ad-hoc requests.

Stakeholder Communication

• Coordinate with ATA Portfolio Managers and Product Business Partners for roadmap alignment and governance decisions.

Task Management

• Take over existing tasks and support other PPMO responsibilities as needed.

Job Details:

• Role: Senior Staff Engineer
• Experience: 7.5-9 Years
• Employment Type: Full-time
• Work Mode: Remote

Job Description

REQUIREMENTS:

• Strong hands-on experience in Java and Python
• Expertise in Microsoft Azure AI/ML services
• Experience with LLM application frameworks (LangChain, LangGraph, or similar)
• Strong experience in API development and system integration
• Experience building backend systems and scalable architectures
• Solid understanding of data structures, system design, and distributed systems
• Familiarity with cloud-native deployments, CI/CD, and observability tools
• Experience with LLM tools/providers and AI-assisted development (Good to Have)
• Strong problem-solving and communication skills

RESPONSIBILITIES:

• Design and develop autonomous AI agents capable of multi-step reasoning and decision-making
• Build and orchestrate agent workflows using modern frameworks (LangChain, LangGraph, etc.)
• Integrate AI agents with APIs, databases, and SaaS platforms for end-to-end automation
• Develop prompt engineering strategies, memory architectures, and tool integrations
• Deploy, monitor, and maintain AI agents in production environments
• Optimize agents for performance, scalability, latency, and cost efficiency
• Debug and improve agent behavior using testing, logging, and feedback loops
• Collaborate with cross-functional teams to embed AI solutions into business workflows
• Write clean, scalable, and production-ready backend code
• Stay updated with emerging AI/LLM trends and agent frameworks

Qualifications

Bachelor’s or master’s degree in computer science, Information Technology, or a related fields