Senior Executive - Program & Project Management

We are looking for a candidate with 4 years of experience in project coordination, planning, scheduling, and tracking with AI/ML initiatives, including Generative AI, data analysis, LLM Ops, NLP, and Python. The ideal candidate will coordinate cross-functional project activities while contributing to data-driven and AI-enabled solutions across business and technology teams.

Responsibilities

• Coordinate project activities, timelines, milestones, risks, dependencies, and stakeholder communications.
• Support project planning, tracking, status reporting, meeting coordination, documentation, and follow-ups.
• Work with business, data, AI/ML engineering, and product teams to gather requirements and ensure smooth project execution.
• Assist in AI/ML and Generative AI solution delivery, including use cases involving NLP, LLMs, prompt engineering, and data analytics.
• Support data analysis activities by preparing datasets, identifying trends, generating insights, and creating meaningful reports or dashboards.
• Collaborate with technical teams on LLMOps activities such as model monitoring, evaluation, versioning, governance, and deployment support.
• Help document AI/ML workflows, project plans, implementation approaches, process notes, and technical/business requirements.
• Track project progress, identify blockers, escalate risks, and ensure timely completion of assigned deliverables.

Requirements

• 4 years of experience in project coordination, planning, tracking, or delivery support.
• Good understanding of AI/ML concepts, Generative AI, NLP, and large language model-based solutions.
• Hands-on knowledge of Python for data analysis, automation, scripting, or AI/ML-related tasks.
• Experience with data analysis and analytics, including data interpretation, reporting, and insights generation.
• Familiarity with LLMOps or MLOps concepts such as model deployment, monitoring, evaluation, lifecycle tracking, and governance.
• Ability to work with structured and unstructured data and support AI/ML project documentation.
• Strong communication, coordination, stakeholder management, analytical thinking, and problem-solving skills.
• Ability to manage multiple priorities and work effectively with cross-functional teams.

Skills

Good-to-Have Skills

• Exposure to tools or frameworks such as LangChain, LlamaIndex, Hugging Face, OpenAI, Azure OpenAI APIs, TensorFlow, PyTorch, MLflow, or similar platforms.
• Understanding of RAG architecture, vector databases, embeddings, semantic search, and prompt engineering.
• Experience creating dashboards or reports using Excel, Power BI, Tableau, SQL, or similar tools.
• Basic understanding of cloud platforms such as Azure, AWS, or GCP.
• Knowledge of Agile, Scrum practices, JIRA, Confluence, MS Project, or other project management tools.
• Awareness of responsible AI, data privacy, security, and compliance considerations.

Benefits

• Comprehensive medical plan covering medical, dental, and vision.
• Short-term and long-term disability coverage.
• 401(k) plan with company match.
• Life insurance.
• Vacation time, sick leave, and paid holidays.
• Paid paternity and maternity leave.

Pay

The range displayed reflects the minimum and maximum salary target for the position across all US locations. Within the range, individual pay is determined by work location, job level, and additional factors including job-related skills, experience, and relevant education or training. Depending on the position, other forms of compensation may be provided, such as an annual performance-based bonus, sales incentive pay, and other forms of bonus or variable compensation.