INManagerDatawarehouse Expert with Project ManagementData and AnalyticsAdvisoryGurgaon
Job Summary
Line of Service
AdvisoryIndustry/Sector
Not ApplicableSpecialism
Data Analytics & AIManagement Level
ManagerJob Description & Summary
At PwC our people in data and analytics engineering focus on leveraging advanced technologies and techniques to design and develop robust data solutions for clients. They play a crucial role in transforming raw data into actionable insights enabling informed decision-making and driving business growth.In data engineering at PwC you will focus on designing and building data infrastructure and systems to enable efficient data processing and analysis. You will be responsible for developing and implementing data pipelines data integration and data transformation solutions.
Job Description & Summary:
A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities including business intelligence data management and data assurance that help our clients drive innovation growth and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data understand and navigate risk and help our clients gain a competitive edge.
Responsibilities:
Key Responsibilities
PMI Discovery & Assessment: Rapidly inventory and assess the acquired companys product data and process stack (applications data models APIs integrations workflows SLAs) documenting current-state capabilities and constraints.
Stack Mapping & Alignment: Create detailed mappings from acquired systems to Cvent platforms and processes including data entities/attributes interface touchpoints roles/permissions and operational handoffs; identify overlaps gaps and deprecation candidates.
Integration Options & Recommendations: Propose integration patterns (e.g. consolidate federate phase-and-bridge) articulate trade-offs and recommend best-path actions aligned to business outcomes risk cost and timeline.
Technical Decomposition: Translate target-state outcomes into epics user stories data contracts and interface specifications; outline system interactions dependencies and non-functional requirements (performance security scalability compliance).
Requirement Gathering & Analysis: Lead structured discovery with stakeholders to elicit clarify and document business needs and success metrics; convert ambiguity into clear testable and technically feasible requirements.
Frameworks & Documentation: Produce PMI-specific artifacts (current/target state diagrams sequencing/transition plans cutover runbooks decision logs RACI/DACI prioritization matrices) to drive shared understanding and decisions.
Execution Planning: Build and maintain integration plans with scope milestones dependency maps risks/assumptions and mitigation strategies; define and track measurable outcomes and KPIs.
Data Quality & Reconciliation: Partner with data teams to define reconciliation strategies data quality checks and migration validation plans; ensure lineage and auditability across systems during transitions.
Stakeholder Management: Manage stakeholder communication independently across both organizations; facilitate workshops align on scope and phasing handle trade-offs and maintain a consistent communication cadence.
Status Reporting: Provide transparent timely status updates and executive summaries highlighting progress decisions/asks risks and blockers.
Cloud Architect: Should be able to understand cloud architecture and provide suggestions on component and preferred architecture.
Mandatory skill sets:
Expected Deliverables (PMI)
Stack inventory and current-state assessment
System and data mapping matrix (acquired Cvent)
Integration options summary with recommendations and trade-offs
BRD/FRD and user stories with acceptance criteria
Cutover plan and runbook with risk/rollback considerations
Reconciliation and validation plan with data quality checks
Preferred skill sets:
Qualifications (Must-Have)
10 years of overall experience in technology or product environments
Demonstrated ability to assess unfamiliar stacks and produce clear mappings to a target ecosystem
Domain-informed decision-making; can recommend integration approaches and trade-offs during discovery/design
Technical fluency: read/write basic SQL; interpret API specs; understand data models and identity/permission models
Strong stakeholder management and communication; facilitates workshops and executive readouts
Proficient with Jira Confluence Salesforce Snowflake and Lucid chart (or equivalents)
Working Style Tools and Processes
Working style: Independent executor who drives clarity in ambiguous fast changing PMI contexts; concise communicator who surfaces risks early and proposes options; collaborative partner balancing business value user impact and technical feasibility.
Tools: Salesforce (CRM) Snowflake (data platform) Cloud platforms (Azure / AWS) Jira (delivery) Confluence (documentation) and Lucidchart (flows/architecture). Also comfortable with Google Docs/Slides or Microsoft PowerPoint for presentations and Sigma Computing or comparable lightweight dashboards/BI for metrics.
Core practices: Executive ready status updates decision logs RAID registers; disciplined backlog hygiene requirements traceability and version control for documentation.
Years of experience required:
10 years
Education qualification:
BE ME MTech MBA MCA (60% above)
Education (if blank degree and/or field of study not specified)
Degrees/Field of Study required: Bachelor of Engineering Master of Engineering MBA (Master of Business Administration)Degrees/Field of Study preferred:Certifications (if blank certifications not specified)
Required Skills
Full Stack DevelopmentOptional Skills
Accepting Feedback Accepting Feedback Active Listening Agile Scalability Amazon Web Services (AWS) Analytical Thinking Apache Airflow Apache Hadoop Azure Data Factory Coaching and Feedback Communication Creativity Data Anonymization Data Architecture Database Administration Database Management System (DBMS) Database Optimization Database Security Best Practices Databricks Unified Data Analytics Platform Data Engineering Data Engineering Platforms Data Infrastructure Data Integration Data Lake Data Modeling 32 moreDesired Languages (If blank desired languages not specified)
Travel Requirements
Not SpecifiedAvailable for Work Visa Sponsorship
NoGovernment Clearance Required
NoJob Posting End Date
May 18 2026Required Experience:
Manager
About Company
At PwC, our purpose is to build trust in society and solve important problems. We’re a network of firms in 155 countries with over 284,000 people who are committed to delivering quality in assurance, advisory and tax services. Find out more and tell us what matters to you by vis ... View more