Website:
talentcarpet.com
Job details:
Project Manager – IT
Technical Project Manager (TPM) – Data Technologies
About the Role
We are seeking an experienced Technical Project Manager (TPM) with strong expertise in data technologies to lead and deliver complex data-driven initiatives. The ideal candidate will bridge business objectives with technical execution across data engineering, analytics, BI, and cloud platforms — ensuring scalable, secure, and high-quality data solutions.
This role requires strong experience in managing data platforms, data pipelines, analytics programs, and cloud-based data ecosystems.
Key Responsibilities
Delivery & Project Management
- Own end-to-end delivery of data and analytics projects, ensuring timely and high-quality outcomes aligned with business goals.
- Manage multiple Agile workstreams including data engineering, BI, reporting, and platform modernization initiatives.
- Develop detailed project plans, track milestones, and proactively mitigate risks and dependencies.
- Monitor sprint execution, track velocity, and report on program health and delivery metrics.
- Ensure governance, compliance, and data quality standards are maintained across initiatives.
Requirements & Stakeholder Management
- Partner with business stakeholders to gather and translate data, reporting, and analytics requirements into actionable user stories and epics.
- Work closely with data architects, engineers, and analysts to validate technical feasibility and solution design.
- Conduct impact analysis, data flow mapping, and gap assessments.
- Ensure clear traceability of requirements from design through deployment.
- Manage prioritization of data-related incidents, enhancements, and change requests.
Data Platform & Technology Oversight
- Oversee implementation and optimization of data pipelines (ETL/ELT processes).
- Manage projects involving data warehouses, data lakes, and cloud data platforms.
- Ensure best practices in data governance, security, performance optimization, and scalability.
- Coordinate DevOps and CI/CD processes for data deployments.
- Monitor data quality frameworks and performance metrics.
Pre-Sales & Solution Support
- Support pre-sales activities by defining data solution scope, architecture approach, timelines, and effort estimation.
- Participate in client discussions, RFP/RFI responses, and proposal presentations for data and analytics engagements.
- Provide delivery feasibility assessments and risk mitigation strategies during solution shaping.
Team Leadership
- Lead cross-functional teams including data engineers, BI developers, analysts, architects, and QA teams.
- Foster collaboration between onsite and offshore teams.
- Mentor team members and support capability building in emerging data technologies.
- Promote a culture of accountability, innovation, and continuous improvement.
Required Skills & Experience
- 8+ years of experience in technology projects, with at least 3+ years managing data engineering or analytics programs.
- Strong experience managing large-scale data initiatives (Data Warehousing, Data Lakes, BI, Advanced Analytics).
- Hands-on exposure to ETL/ELT tools (Informatica, Talend, ADF, SSIS, etc.).
- Experience with cloud data platforms (AWS, Azure, or GCP – e.g., Redshift, Snowflake, BigQuery, Azure Synapse).
- Strong understanding of SQL, databases (RDBMS/NoSQL), and data modeling concepts.
- Experience with BI tools such as Power BI, Tableau, or Looker.
- Familiarity with Agile/Scrum methodologies and tools (Jira, Azure DevOps).
- Understanding of data governance, data security, compliance, and master data management (MDM).
- Experience in managing distributed or multi-vendor teams.
- PMP, CSM, or equivalent certification is a plus.
Preferred (Good to Have)
- Exposure to Big Data technologies (Spark, Hadoop, Databricks).
- Experience in AI/ML project coordination.
- Knowledge of data cataloging and metadata management tools.
Soft Skills
- Strong analytical and strategic thinking capabilities.
- Excellent communication and stakeholder management skills.
- Ability to manage ambiguity and evolving priorities in fast-paced environments.
- Strong decision-making and problem-solving abilities.
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