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Shaurya Sharma

@shauryasharma

Program Operations Analyst delivering cross-functional HR-tech programs with data-driven execution and stakeholder alignment.

India

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What I'm looking for

I’m looking to step into a Program Manager role at a high-growth company where structured execution translates directly to business outcomes—turning ambiguous priorities into delivery plans, dashboards, and stakeholder-aligned results.

I’m a Program Operations professional with 3+ years delivering cross-functional programs in HR tech and enterprise environments. I own end-to-end execution across recruitment, training, and performance workstreams—managing 4–6 concurrent programs and aligning 10+ stakeholders to keep delivery on time.

My work is grounded in measurable outcomes and repeatable systems. I built reporting infrastructure from scratch, reducing operational overhead by 30–40% and cutting recruitment cycle time by ~25% by mapping pipeline bottlenecks and redesigning cross-team handoffs.

I also drive adoption and operational clarity through SOPs, communication plans, and structured documentation. Whether running RAID governance across multiple programs or deploying KPI dashboards (e.g., Looker Studio suites), I thrive in ambiguity and fast-moving priorities—especially where structured execution directly impacts business results.

Experience

Work history, roles, and key accomplishments

Current

Program Operations Analyst

Current

Momentum HR Talent Development Pvt. Ltd.

Jan 2024 - Present (2 years 5 months)

Owned delivery of 4–6 concurrent recruitment, training, and performance programs, coordinating 10+ stakeholders while maintaining 100% on-time milestone completion. Reduced recruitment cycle time by ~25%, built a Looker Studio KPI dashboard suite, and cut manual operational effort by 30–40% through SOPs and governance frameworks.

Cross Functional Execution Stakeholder Management Looker Studio SQL Change Management

IT Analyst

Bowling Green State University

Jan 2021 - Jan 2023 (2 years)

Delivered full-cycle IT support and systems analysis across a 20,000+ user enterprise environment, improving service continuity across Windows, macOS, iOS, Android, and Red Hat Linux. Reduced repeat ticket volume via root-cause analysis, improved reporting turnaround by 15–20%, and supported AI/ML chatbot development by designing, labeling, and reviewing supervised training data.

Enterprise Support Root Cause Analysis Incident Management Identity & Access Management (IAM)