Project Manager | SAP Technical | SAP Business Objects Data Services / Data Integrator (BODS / BODI)

"Project Niche Skills"
VISA DEPENDENT candidates are allowed
POC - Diksha
Job Details:

Job title: Product Owner
Work Location with Zip code: 77002
Duration of the project: 6
This role requires any travel (Yes/No): NO
Please confirm if this would be onsite from day one OR Initial remote for 2-3 months, and then expect the candidate to work from the office OR 100% Remote: Hybrid
Is this a 100% remote role? NO
Vendor rate range: #### - 103
Minimum years of experience required: 12
Would you require the candidates to meet you for an in-person interview?: No
Education Qualification required: Bachelor s / Masters : Bachelors

Must have skills:

Experience in Data Product Management, Business Analysis, or Data & Analytics programs.
Strong understanding of modern data platforms (Snowflake, Databricks, AWS/Azure, ETL/ELT).
Knowledge of Data Governance, Data Quality, BI, and AI/ML concepts.
Excellent stakeholder management, communication, and prioritization skills.
Agile/Scrum product management experience.


Detailed Job Description:

Own the vision, roadmap, and delivery of data products that enable business insights, operational efficiency, and AI-driven decision making. Act as the bridge between business stakeholders, data engineering, analytics, and platform teams to ensure data products deliver measurable business value.

Success Metrics

Data product adoption and user satisfaction.
Improvement in data quality and availability.
Reduction in reporting and decision-making cycle times.
Business value realization through analytics and AI initiative.
WM/Enterprise Context (1-line version)
"Owns the prioritization, delivery, and business value realization of data products across Data Services and AI platforms, ensuring alignment between business objectives and engineering execution."

Minimum years of experience:

8+ years in Data & Analytics with 3+ years in Product Management or Data Product Management roles.

Education: Bachelor s / Masters


The top 3 responsibilities would expect the Subcon to shoulder and execute:

Develop and maintain ELT/ETL pipelines using DBT and AWS services.
Design, build, and optimize Snowflake data models, schemas, and performance.
Integrate data from diverse source systems into cloud data platforms.
Implement data quality, monitoring, and governance controls.
Collaborate with Product Managers, Data Architects, Analysts, and Business stakeholders.
Support production deployments, incident resolution, and platform optimization.
Automate data engineering processes using CI/CD and DevOps practices.

Project Code: Waste Management National Services