Job Description About the Role
n Saras Analytics is looking for a Technical Project Manager to drive delivery governance across its
n Consulting team. This role sits at the intersection of client engagement management and technical
n execution — coordinating with Engagement Leads, Data Engineering pods, and cross-functional teams
n to ensure every client use case is delivered on time, with full visibility into risks and blockers.
n The TPM will not just manage process — they will own delivery outcomes. That means understanding
n what the client is trying to achieve (e.g., average order value trends, sales performance dashboards),
n translating those into realistic project plans, and proactively flagging when timelines need adjustment
n before commitments are broken.
n What You Will Do
n Project Planning & Sprint Management
n ● Own end-to-end project plans for consulting engagements — from client onboarding and
n charter creation through milestone tracking to final delivery.
n ● Build and maintain sprint cycles (typically 2-week cadence) with clear goals, backlogs, and
n acceptance criteria for each sprint.
n ● Run sprint planning, sprint review, and retrospective calls with Engagement Leads and relevant
n team leads.
n ● Maintain project workspaces in ClickUp (or equivalent tools) with consistent structure, fields,
n and governance — ensuring cross-team visibility without redundant or conflicting data.
n Delivery Ownership & Risk Management
n ● Track progress across all active consulting engagements and flag delays before they surface as
n client escalations.
n ● Engage with Engagement Leads to validate timeline estimates — push back when scopes are
n underestimated, and get commitments adjusted proactively.




n ● Coordinate dependencies across consulting, data engineering, and engineering/infrastructure
n teams to unblock execution.
n ● Maintain a clear view of what each client is at, what stage their delivery is in, and what the next
n sprint goal is at any point in time.
n Stakeholder Communication
n ● Serve as the central coordination point between Engagement Leads and Data Engineering pods
n — translate consulting asks into actionable technical tickets with proper acceptance criteria.
n ● Present bi-weekly delivery status updates to internal stakeholders; communicate sprint goals
n and upcoming milestones clearly.
n ● Over time, participate in client-facing demos and delivery reviews (bi-weekly cadence),
n representing project status and next sprint goals.
n Process Governance & Adoption
n ● Drive adoption of standardised project management processes across consulting pods —
n including ticket templates, milestone definitions, and sprint hygiene.
n ● Create and maintain process documentation for delivery workflows, escalation paths, and
n onboarding playbooks for new team members.
n ● Conduct onboarding sessions for new joiners covering e-commerce domain basics, connector
n landscape, and cross-team workflows.
n What We Are Looking For
n Must-Have
n ● 3–6 years of experience in project/program management, preferably in a data, analytics, or
n tech services environment.




n ● Demonstrated ability to run Agile/Scrum workflows — sprint planning, backlog management,
n retrospectives — with cross-functional teams.
n ● Solid coordination skills across multiple concurrent projects and stakeholders with competing
n priorities.
n ● Experience working with project management tools (ClickUp, Jira, Asana, or similar) and the
n discipline to enforce governance without losing team buy-in.
n ● Enough domain fluency to understand what a client ask involves technically — you don't need
n to build dashboards, but you should understand what makes an average-order-value analysis
n more or less complex.
n Good to Have
n ● Familiarity with e-commerce and retail analytics concepts — connectors (Shopify, Amazon,
n etc.), BI layers, data pipelines.
n ● Experience managing delivery in a consulting or client-services environment where expectations
n are set externally.
n ● Comfort with client-facing communication — status updates, demos, expectation management.
n ● Understanding of data engineering workflows: connectors, data modelling, QA/certification,
n and dashboard/presentation layers.
n What Success Looks Like
n ● No client commitment is broken because a timeline risk wasn't caught early enough.
n ● Engagement Leads spend less time chasing cross-team dependencies and more time on delivery
n quality.
n ● Sprint velocity and milestone adherence are trackable, visible, and consistently improving.
n ● Recent hires on the consulting team understand how delivery works within the first two weeks.
n ● ClickUp (or equivalent) is a single source of truth — not a contested, noisy system that people
n work around.

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