Website:
novacisinnovations.com
Job details:
About Us
Novacis Digital Private Limited is a US Based product-based technology company headquartered in Atlanta, GA with its Global R&D center at IIT Madras Research Park, a hub for cutting-edge innovation. We specialize in building AI-powered digital products and analytics-driven solutions that solve real-world problems.
Our leadership team brings over 100+ years of global experience delivering scalable technology platforms and innovation labs for US Federal & State Government and Fortune 500 companies. We are enthusiastic about fostering a culture where technologists thrive by building smart, secure, and scalable products with real impact.
We are currently working on next-generation LLM based systems based on AI first principles for intelligent document processing, dynamic workflow orchestration, AI copilots, enterprise data analytics, Convolutional LLM application and natural language analytics.
Role – Senior Project Manager – AI Delivery
Experience: 12+ Years
About the Role
We are seeking a seasoned, hands-on Senior Project Manager to drive predictable, high-quality delivery across AI-powered products, platforms, and digital transformation projects. This role goes beyond project tracking and reporting: the successful candidate will establish delivery discipline, proactively manage risks and dependencies, and help Novacis Digital evolve its delivery practices as the organization scales.
The ideal candidate has experience working in both startup/high-growth and mature, process-oriented environments, and has personally helped teams or organizations move from relatively informal delivery practices toward scalable, measurable, and predictable Agile delivery. The role requires someone who can balance strong governance and accountability with the speed, flexibility, and ambiguity inherent in a startup environment.
The Project Manager will own end-to-end delivery from project initiation through successful release and closure, working closely with Product, Engineering, AI/ML, Data, QA, DevOps, Solution Architecture, customers, and senior leadership. The expectation is to build the delivery operating discipline—not simply administer an existing process.
Key Competencies
- Strong Agile project and delivery management with end-to-end ownership.
- Proven ability to establish delivery predictability across scope, schedule, quality, resources, and dependencies.
- Strong risk, issue, dependency, and change management with proactive escalation.
- Backlog, sprint, release, and milestone management in Agile product development environments.
- Process design and implementation; ability to introduce pragmatic delivery standards without creating unnecessary bureaucracy.
- Experience helping an organization or team mature its delivery practices and operating rhythm.
- Strong stakeholder and client management, including the ability to challenge constructively and drive accountability.
- Technology/software delivery background with sufficient technical acumen to work effectively with engineering, AI/ML, data, cloud, QA, and DevOps teams.
- Hands-on, execution-oriented mindset suited to a startup/high-growth environment.
- Strong analytical, problem-solving and leadership skills.
- Excellent US client-facing communication, stakeholder management, and team collaboration skills, with the ability to communicate effectively with both business and technical stakeholders.
What You'll Do
- End-to-End Project Management: Lead the complete lifecycle of AI and digital projects from initiation, discovery/planning, execution, deployment, and closure.
- Project Planning & Delivery Predictability: Establish scope, milestones, estimates, delivery commitments, critical paths, dependencies, and execution plans; continuously assess progress against commitments.
- Agile Delivery & Backlog Management: Drive effective backlog refinement, sprint planning, reviews, retrospectives, and release planning; partner with Product Managers to manage priorities, scope, and acceptance criteria.
- Release & Delivery Management: Coordinate releases, milestone closures, deployment readiness, UAT, and production handoffs while ensuring quality and schedule commitments are met.
- Risk, Issue & Dependency Management: Establish proactive risk and issue management; identify schedule, resource, technology, data, client, and dependency risks; drive mitigation, ownership, and timely escalation.
- Resource Planning & Utilization: Plan capacity, allocate resources, monitor utilization, identify constraints early, and work with leadership to resolve resource and prioritization conflicts.
- Stakeholder & Client Management: Align customers, business stakeholders, Product, Engineering, AI/ML, Data, QA, DevOps, and leadership; communicate status, risks, trade-offs, and decisions clearly.
- Delivery Governance & Quality: Establish pragmatic governance, quality checkpoints, project health reporting, release-readiness criteria, and management visibility across scope, schedule, quality, resources, and risk.
- Project Monitoring & Reporting: Build meaningful delivery dashboards and operating rhythms that provide leadership with an accurate view of project health, emerging risks, dependencies, and required interventions.
- Technical Collaboration: Work closely with technical teams to understand software development, AI/ML, data, cloud, integration, testing, and deployment dependencies and to support informed delivery decisions.
- Process Design & Maturity: Assess current delivery practices, identify gaps, and implement lightweight, scalable standards for planning, estimation, risk management, quality, governance, and release management.
- Continuous Improvement: Use retrospectives, root-cause analysis, delivery metrics, and lessons learned to improve delivery efficiency, predictability, quality, and accountability across projects.
- Hands-on Delivery Leadership: Step into challenging project situations, remove blockers, drive decisions, and coach teams and stakeholders on effective delivery practices rather than limiting the role to project administration.
What You Bring
Required Qualifications
- Bachelor’s degree in Computer Science, Information Technology, Engineering, or a related technical field.
- 12+ years of overall experience, with significant experience in technical project/program delivery and software development environments
- Strong hands-on experience managing Agile/Scrum projects through planning, execution, release, and closure.
- Demonstrated experience in project planning, schedule management, backlog/sprint management, resource planning, risk/issue management, and delivery governance.
- Proven experience establishing or improving project delivery processes, standards, operating rhythms, or governance mechanisms.
- Demonstrated experience working in a startup, scale-up, or high-growth technology environment.
- Experience working in a mature, process-oriented technology organization and ability to translate useful practices into a pragmatic startup operating model.
- Evidence of helping a team or organization evolve toward more mature, predictable, and measurable delivery practices.
- Strong technology/software delivery background and ability to collaborate effectively with engineering and technical teams.
- Excellent leadership, communication, stakeholder management, negotiation, and problem-solving skills.
- Proficiency with project management and Agile tools such as Jira, Azure DevOps, Confluence, or MS Project.
Preferred Qualifications
- Experience managing AI/ML, data/analytics, cloud, enterprise software, or digital transformation projects.
- US Healthcare or healthcare technology project experience.
- Experience establishing or operating within PMO / delivery governance frameworks.
- PMP, PMI-ACP, Scrum Master (CSM/PSM), or equivalent certification.
- Experience with DevOps, CI/CD, cloud platforms, software quality engineering, or production release processes.
- Exposure to compliance, security, quality, or regulated technology delivery environments.
- Experience with multi-project portfolio, capacity, budget, or vendor management.
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