About the Role

nSaras Analytics is looking for a Technical Engagement Lead to drive delivery governance across its

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

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

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

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

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

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

nbefore commitments are broken.

n

nWhat You Will Do

nProject Planning & Sprint Management

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

ncharter creation through milestone tracking to final delivery.

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

nacceptance criteria for each sprint.

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

nteam leads.

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

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

nDelivery Ownership & Risk Management

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

nclient escalations.

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

nunderestimated, and get commitments adjusted proactively.

n● Coordinate dependencies across consulting,



data engineering, and engineering/infrastructure

nteams to unblock execution.

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

nsprint goal is at any point in time.

n

nStakeholder 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

nand upcoming milestones clearly.

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

nrepresenting project status and next sprint goals.

n

nProcess Governance & Adoption

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

nincluding ticket templates, milestone definitions, and sprint hygiene.

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

nonboarding playbooks for new team members.

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

nlandscape, and cross-team workflows.

n

nWhat We Are Looking For

nMust-Have

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

ntech services environment.





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

nretrospectives — with cross-functional teams.

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

npriorities.

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

ndiscipline to enforce governance without losing team buy-in.

n● Enough domain fluency to understand what a client ask involves technically — you don't need

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

nmore or less complex.

n

nGood to Have

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

netc.), BI layers, data pipelines.

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

nare set externally.

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

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

nand dashboard/presentation layers.

n

nWhat 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

nquality.

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

n● New 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

nwork around.

n

📌 Technical Engagement Lead (Hyderabad)
🏢 Saras Analytics
📍 Hyderabad