Snap Analytics

Unifies data into AI-ready foundations

Technical Project Manager

Project ManagementUpdated on Nov 14

Full-timePune, Maharashtra, IndiaNo salary listed

About the Job

Requirements

A minimum of 10 years of IT project or product management experience, ideally in data engineering or AI-driven environments.
A proven track record managing data and AI projects across multiple clients or business units.
Experience with Azure DevOps, Jira, and Agile delivery methodologies.
One or more recognized project management certifications, such as Project Management Professional (PMP), PRINCE2 Practitioner, Certified ScrumMaster (CSM), or Agile Certified Practitioner (PMI-ACP).
Strong stakeholder management and communication skills, including international exposure.
A good understanding of data pipelines, machine learning workflows, and reporting layers.
Exposure to cloud platforms such as AWS, Snowflake, Databricks, or Matillion.
Familiarity with release management and version control, such as GitHub.
Experience working with cross-functional teams across geographies.
Ability to simplify complex technical concepts for business stakeholders.
Strong leadership and mentoring capabilities.

Responsibilities

Own and maintain overall project plans, including milestones, dependencies, and resource allocation.
Lead fortnightly governance meetings to communicate progress and blockers, manage scope and cost changes, and obtain key decisions.
Monitor project budgets and provide accurate run-rate analysis with the Snap Delivery Lead.
Manage risks and issues proactively, ensuring timely resolution and mitigation.
Coordinate with architects, data engineers, AI specialists, and data visualisation teams, acting as their escalation point.
Apply the company's proprietary Snap Perform methodology, a blend of PRINCE2 and CMMi tailored for data and AI delivery.
Manage senior stakeholders across business and technical domains.
Oversee multiple concurrent projects or clients, balancing priorities and resources effectively.
Build a strong understanding of the retail client’s account and overall delivery landscape.
Independently manage projects and drive them to completion.
Improve project management processes to increase efficiency.
Support client retention through stable, well-managed delivery.

Desired Qualifications

Experience in data engineering or AI-driven environments is ideal.
Proactive, solution-oriented mindset.
Appetite for continuous learning and knowledge sharing.

Location: Pune
Work type: Hybrid (In Pune Office)

Why this role exists…

This role is designed to strengthen our delivery capability across our most strategic accounts in industries like Consumer Goods, Financial Services and Energy.

As the demand for data and AI-driven transformation grows, so does the need for structured, proactive project leadership. At Snap Analytics, we help clients unlock the full potential of their data, and we’re scaling fast. As part of your role as Project Manager, you'll ensure that our largest and most complex projects are delivered according to the project plan, issues are tracked and escalated in a timely manner and ensure smooth delivery and client satisfaction.

We’re looking for a Project Manager who can lead multi-stream data and AI projects, manage senior stakeholders, and drive outcomes across technical and business domains. You’ll be joining a collaborative, delivery-focused team that values transparency, ownership, and continuous improvement.

If you thrive in fast-paced environments, enjoy solving problems, and have a passion for making things run smoothly, this could be a great fit.

You’ll play a central role in delivering high-impact data and AI projects across multiple clients and workstreams. You’ll work closely with technical teams, client stakeholders, and internal leadership to drive outcomes.

Your responsibilities will include:

Owning and maintaining overall project plans, including milestones, dependencies, and resource allocation
Leading fortnightly governance meetings to communicate progress, blockers, manage scope/cost changes, and obtain key decisions
Monitoring project budgets and providing accurate run-rate analysis with the Snap Delivery Lead
Managing risks and issues proactively, ensuring timely resolution and mitigation
Coordinating with Architects, Data Engineers, AI specialists, and Data Visualisation teams, acting as their escalation point
Applying Snap’s proprietary Snap Perform methodology (a blend of PRINCE2 and CMMi tailored for data and AI delivery)
Managing senior stakeholders across business and technical domains
Overseeing multiple concurrent projects or clients, balancing priorities and resources effectively

In your first 3–6 months, success might look like:

Building a strong understanding of our retail client’s account and overall delivery landscape
Independently managing projects and driving them to completion
Improving project management processes to increase efficiency
Supporting client retention through stable, well-managed delivery

We’re looking for someone who brings a mix of experience, curiosity, and collaboration.

You might be a great fit if you have:

A minimum of 10+ years of IT project or product management experience, ideally in data engineering or AI-driven environments
A proven track record in managing Data and AI projects across multiple clients or business units
Experience with tools like Azure DevOps and Jira, and Agile delivery methodologies
One or more recognised project management certifications such as PMP (Project Management Professional), PRINCE2 Practitioner, Certified ScrumMaster (CSM), or PMI-ACP (Agile Certified Practitioner)
Strong stakeholder management and communication skills, including international exposure
A good understanding of data pipelines, machine learning workflows, and reporting layers
Exposure to cloud platforms such as AWS, Snowflake, Databricks, or Matillion
Familiarity with release management and version control (e.g., GitHub)
Experience working with cross-functional teams across geographies
Ability to simplify complex technical concepts for business stakeholders

Soft skills:

Excellent communication and interpersonal skills
Proactive, solution-oriented mindset
Strong leadership and mentoring capabilities
Appetite for continuous learning and knowledge sharing

About the Company

Snap Analytics

Unifies data into AI-ready foundations

Snap Analytics helps large organisations turn complex, fragmented data into AI-ready foundations by unifying, modernising and activating data. It focuses on enterprise data modernisation and end-to-end data-to-AI delivery, building a single trusted data foundation that powers real-time workflows, automation and measurable outcomes. Their approach spans defining the right platform and roadmap, engineering robust data foundations, and activating high-value AI use cases, with pre-built frameworks and deep real-world expertise. They work with SAP, Snowflake, and Databricks modernisation, data engineering, data science and AI operations, offering modular services or full-scale transformations so clients can move from data strategy to production-ready AI. The goal is to help organisations unlock data value and achieve a competitive advantage through practical, production-ready AI and data governance.

Company size: 51-200
Company stage: Not listed
Total funding: Not listed
Headquarters: Bristol, United Kingdom
Founded: 2012

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