Senior Data Product Manager / Business Analyst - Remote - Contract
iitjobs, Inc. · United States
- Hybrid
- Contract
- $130,000 / year
- United States
Tailored resume — keyword-matched to this role.
Hiring manager — we find who's hiring.
Intro email — drafted to reach them directly.
Job highlights
- Manage data product lifecycle for Order-to-Cash.
- Bridge business and technical data teams.
- Map data flows across enterprise systems.
- Collaborate on scalable data solutions.
- Ensure data accuracy and drive insights.
About the role
Senior Data Product Manager Business Analyst - Remote - Contract
iitjobs is seeking a Senior Data Product Manager who will be working within the Data Product organization and this role bridges the gap between business stakeholders. With a specific focus on the Order-to-Cash (O2C) cycle and enterprise engineering applications (PLM, PDM, ERP), this individual will drive the end-to-end lifecycle of data products—from ideation and process mapping to technical development and deployment.
Key Responsibilities: Product Strategy & Business Analysis
- Strategic Liaison: Act as the primary bridge between internal business leaders in Manufacturing/Engineering and the technical data, analytics, and engineering teams.
- Product Lifecycle Management: Manage the end-to-end data product lifecycle for the Order-to-Cash value stream—overseeing requirements gathering, user story documentation, product road mapping, and agile backlog prioritization.
- Process Mapping: Understand, document, and map complex workflows where data is produced and consumed across enterprise systems (PLM, PDM, Oracle EBS/SAP).
- Business Translation: Translate complex business gaps, ROI objectives, and KPIs into actionable data product features, system interaction models, and data flow designs.
- Adoption & Enablement: Drive user enablement, support change management efforts, and monitor the post-implementation performance of data products.
Key Responsibilities: Data & Technical Execution
- Technical Collaboration: Partner with data architects and data engineering teams to design scalable data solutions, ensuring efficient data ingestion, transformation, and orchestration.
- Quality & Governance: Define detailed acceptance criteria, develop high-level test plans, and partner with QA to ensure data accuracy, compliance, and governance throughout the product lifecycle.
- Visualization & Insights: Guide the creation of actionable dashboards and business intelligence reporting, performing ad hoc validation using advanced analytics and visualization tools.
Required Skills
- Enterprise Domain Knowledge: Deep understanding of Engineering and Manufacturing workflows, with specific expertise in the Order-to-Cash (O2C) process. Hands-on experience with PLM/PDM applications and ERP systems.
- Data Platforms & Architecture: Familiarity with Lakehouse Architecture, Databricks (including Delta Lake and Unity Catalog), and cloud data environments.
- Data Engineering & Analytics: Solid understanding of data pipelines and orchestration. Proficient in SQL for data exploration, with familiarity in Python or R for advanced data manipulation.
Key skills/competency
- Data Product Management
- Business Analysis
- Order-to-Cash (O2C)
- Enterprise Resource Planning (ERP)
- Product Lifecycle Management (PLM)
- Data Engineering
- SQL
- Databricks
- Agile Methodologies
- Stakeholder Management
Skills & topics
- Data Product Manager
- Business Analyst
- Data Product Management
- Order-to-Cash
- O2C
- PLM
- PDM
- ERP
- SQL
- Databricks
- Data Engineering
- Agile
- Remote
How to get hired
- Tailor your resume: Highlight experience in Order-to-Cash, data product management, and enterprise systems like PLM/PDM/ERP.
- Showcase technical skills: Emphasize proficiency in SQL, Databricks, and data pipeline understanding.
- Quantify achievements: Use metrics to demonstrate impact in business analysis and data product deployment.
- Prepare for technical questions: Be ready to discuss data architecture, O2C processes, and agile methodologies.
- Understand the role's impact: Articulate how you connect business needs with data solutions at iitjobs.
Technical preparation
Master SQL for data querying and analysis.,Study Databricks, Delta Lake, Unity Catalog.,Review O2C cycle and enterprise systems.,Practice data pipeline and orchestration concepts.
Behavioral questions
Describe bridging business and technical teams.,How do you manage product roadmaps?,Explain a complex process mapping experience.,How do you drive user adoption?
Frequently asked questions
- What is the primary focus of the Senior Data Product Manager Business Analyst role at iitjobs?
- The primary focus is on managing the end-to-end lifecycle of data products, specifically within the Order-to-Cash (O2C) cycle and enterprise engineering applications, bridging the gap between business stakeholders and technical teams.
- What enterprise systems knowledge is required for this Senior Data Product Manager Business Analyst position?
- Deep understanding and hands-on experience with PLM, PDM, ERP systems (like Oracle EBS/SAP) are crucial for this role at iitjobs.
- What data platforms and technologies are relevant for this Senior Data Product Manager Business Analyst role?
- Familiarity with Lakehouse Architecture, Databricks (Delta Lake, Unity Catalog), and cloud data environments is required. Proficiency in SQL is essential, with familiarity in Python or R being a plus.
- Is this a remote position for the Senior Data Product Manager Business Analyst at iitjobs?
- Yes, this Senior Data Product Manager Business Analyst position is advertised as a remote contract role.
- What is the expected experience level for a Senior Data Product Manager Business Analyst at iitjobs?
- The title 'Senior' implies significant experience in data product management, business analysis, and the specific domain knowledge required, particularly in O2C and enterprise systems.
- What are the key responsibilities for the Senior Data Product Manager Business Analyst regarding process mapping?
- This role involves understanding, documenting, and mapping complex workflows where data is produced and consumed across enterprise systems.
- How does this Senior Data Product Manager Business Analyst role contribute to data governance?
- The role includes defining acceptance criteria and partnering with QA to ensure data accuracy, compliance, and governance throughout the product lifecycle.