Job Description

About the Role

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Saras Analytics is looking for a Technical Project Manager to drive delivery governance across its

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Consulting team. This role sits at the intersection of client engagement management and technical

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execution — coordinating with Engagement Leads, Data Engineering pods, and cross-functional teams

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to ensure every client use case is delivered on time, with full visibility into risks and blockers.

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The TPM will not just manage process — they will own delivery outcomes. That means understanding

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what the client is trying to achieve (e.g., average order value trends, sales performance dashboards),

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translating those into realistic project plans, and proactively flagging when timelines need adjustment

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before commitments are broken.

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What You Will Do

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Project Planning & Sprint Management

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● Own end-to-end project plans for consulting engagements — from client onboarding and

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charter creation through milestone tracking to final delivery.

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● Build and maintain sprint cycles (typically 2-week cadence) with explicit goals, backlogs, and

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acceptance criteria for each sprint.

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● Run sprint planning, sprint review, and retrospective calls with Engagement Leads and relevant

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team leads.

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● Maintain project workspaces in ClickUp (or equivalent tools) with consistent structure, fields,

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and governance — ensuring cross-team visibility without redundant or conflicting data.

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Delivery Ownership & Risk Management

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● Track progress across all active consulting engagements and flag delays before they surface as

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client escalations.

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● Engage with Engagement Leads to validate timeline estimates — push back when scopes are

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underestimated, and get commitments adjusted proactively.

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● Coordinate dependencies across consulting, data engineering, and engineering/infrastructure

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teams to unblock execution.

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● Maintain a clear view of what each client is at, what stage their delivery is in, and what the next

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sprint goal is at any point in time.

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Stakeholder Communication

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● Serve as the central coordination point between Engagement Leads and Data Engineering pods

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— translate consulting asks into actionable technical tickets with proper acceptance criteria.

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● Present bi-weekly delivery status updates to internal stakeholders; communicate sprint goals

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and upcoming milestones clearly.

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● Over time, participate in client-facing demos and delivery reviews (bi-weekly cadence),

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representing project status and next sprint goals.

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Process Governance & Adoption

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● Drive adoption of standardised project management processes across consulting pods —

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including ticket templates, milestone definitions, and sprint hygiene.

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● Create and maintain process documentation for delivery workflows, escalation paths, and

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onboarding playbooks for new team members.

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● Conduct onboarding sessions for new joiners covering e-commerce domain basics, connector

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landscape, and cross-team workflows.

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What We Are Looking For

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Must-Have

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● 3–6 years of experience in project/program management, preferably in a data, analytics, or

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tech services environment.

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● Demonstrated ability to run Agile/Scrum workflows — sprint planning, backlog management,

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retrospectives — with cross-functional teams.

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● Strong coordination skills across multiple concurrent projects and stakeholders with competing

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priorities.

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● Experience working with project management tools (ClickUp, Jira, Asana, or similar) and the

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discipline to enforce governance without losing team buy-in.

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● Enough domain fluency to understand what a client ask involves technically — you don‘t need

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to build dashboards, but you should understand what makes an average-order-value analysis

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more or less complex.

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Good to Have

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● Familiarity with e-commerce and retail analytics concepts — connectors (Shopify, Amazon,

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etc.), BI layers, data pipelines.

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● Experience managing delivery in a consulting or client-services environment where expectations

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are set externally.

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● Comfort with client-facing communication — status updates, demos, expectation management.

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● Understanding of data engineering workflows: connectors, data modelling, QA/certification,

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and dashboard/presentation layers.

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What Success Looks Like

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● No client commitment is broken because a timeline risk wasn‘t caught early enough.

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● Engagement Leads spend less time chasing cross-team dependencies and more time on delivery

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quality.

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● Sprint velocity and milestone adherence are trackable, visible, and consistently improving.

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● New hires on the consulting team understand how delivery works within the first two weeks.

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● ClickUp (or equivalent) is a single source of truth — not a contested, noisy system that people

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work around.

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📌 Technical Project Manager (Hyderabad)
🏢 Saras Analytics
📍 Hyderabad