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Solution Delivery Manager (Bi Lead) @Trek Bicycle
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WORK HISTORY
Solution Delivery Manager (Bi Lead) @Trek Bicycle
Gurugram, IN
Partner with Product, Finance, and Operations teams to prioritize analytics initiatives, reducing requirement rework by 30% through proactive feasibility assessments and risk alignment. 🟆 Lead sprint execution and backlog refinement for 3 cross-functional squads (14+ members), improving delivery predictability by ~25% through clear alignment of analytics scope with business priorities. 🟆 Drive risk management by establishing and maintaining a RAID (Risks, Assumptions, Issues, Dependencies) framework, surfacing cross-system dependencies early in the SDLC, and preventing downstream blockers across frontend, backend, and data engineering teams.🟆 Translate product roadmaps and business requirements into clear, actionable user stories, technical specifications, and prioritized sprint backlogs, enabling build-ready clarity for Data Engineering teams.🟆 Provide Agile/Scrum leadership by facilitating sprint planning, backlog grooming, and retrospectives, ensuring predictable delivery and continuous improvement across multiple squads.
EDUCATION
Dr. A.P.J. Abdul Kalam Technical University
Bachelor of Technology - BTech, Electrical, Electronics and Communications Engineering
ABOUT SANKALP ANAND
They show up as half-sentences in meetings, shifting expectations, and dashboards everyone wants—but no one fully trusts.I work closely with product, analytics, and data engineering teams in fast-moving organizations where unclear data hinders real-time decisions.’ —.I start by listening—untangling what the business thinks it needs from what it actually needs to decide. Whether it’s aligning finance and engineering on complex revenue logic or helping leadership finally trust a KPI that’s been debated for months, my goal is to replace friction with flow.Ambiguous asks become clear questions. Clear questions become data logic. And data logic becomes solutions analytics teams can build, test, and release with confidence: • : Turning ambiguous business questions into build-ready requirements that engineers don’t have to reinterpret. • : Designing sprint and backlog structures that make progress predictable—and eliminate the need for status-chasing. • : Ensuring technical decisions are grounded in business intent—and business expectations reflect technical reality, — —. The outcome is simple: analytics that are accurate, understood, and ready for production, so teams spend less time debating numbers and more time making confident decisions.
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