Project Manager Business Analyst - Data & Reporting, Master Data Management
Job in
Cupertino, Santa Clara County, California, 95014, USA
Listed on 2026-06-01
Listing for:
Pyramid Consulting, Inc
Full Time
position Listed on 2026-06-01
Job specializations:
-
IT/Tech
Data Analyst, Data Science Manager, Data Engineer, Business Systems/ Tech Analyst
Job Description & How to Apply Below
. This is a 12+months contract opportunity with long-term potential and is located in Austin TX / Cupertino, CA
(Onsite). Please review the job description below and contact me ASAP if you are interested.
Job
-09779
Pay Range: $45 - $50/hour. Employee benefits include, but are not limited to, health insurance (medical, dental, vision), 401(k) plan, and paid sick leave (depending on work location).
Key Responsibilities:
- End-to-End Project Management: Lead the planning, execution, and delivery of MDM initiatives.
- Develop project plans, manage sprint schedules, track milestones, and proactively identify and mitigate project risks.
- Impact Assessment & Gap Analysis: Analyze current-state data against future-state MDM needs, identify deltas, assessing business impact severity, and proposing mitigation strategies to keep the project on track.
- Stakeholder Engagement & Communication:
Facilitate harmonization discussions with global business teams and support governance forums to align on key MDM attributes. - Provide regular status updates, executive summaries, and risk assessments to leadership and steering committees.
- Data Profiling & Availability Analysis:
Partner with SMEs and business stakeholders to understand current data structures, availability, and gaps, translating these findings into actionable project requirements. - Integration & Transformation Design:
Define, document, and manage the requirements for data integration, migration, transformation, and current-to-future state mapping - Data Quality Evaluation: Assess and document the quality of key MDM attributes, define data quality rules, and collaborate with data quality analysts and business partners to drive improvements.
- Testing, Validation & UAT:
Manage and actively participate in the validation of new or transformed data sets. - Oversee User Acceptance Testing (UAT) to ensure data integrity and alignment with business requirements before deployment.
- Must have skills: Project management, Business Data reporting, MDM & Data Governance.
- Project Management Expertise: Proven track record of managing complex data, MDM, or governance projects.
- Strong proficiency in Agile/Scrum methodologies and project management tools (e.g., Jira, Confluence, Smartsheet, MS Project).
Master Data & Governance: Deep understanding of master data management principles, data governance frameworks, and large-scale data quality improvement initiatives. - Impact & Business Analysis
Skills:
Proven ability to capture/document requirements, assess business impacts and tradeoffs, and align stakeholders through interviews, workshops, and requirements harmonization. - Hands-on experience with data profiling, source system analysis, and KPI definition.
- Strong SQL & Python expertise and experience querying large, complex data sets.
- Familiarity with at least one analytics platform (e.g., Hadoop, Spark, Snowflake).
- Experience with BI tools such as Tableau, Thought Spot, or Business Objects.
- Data Architecture & Quality: Understanding of data architecture principles, data lineage, and experience maintaining data dictionaries/definitions.
- Tools & Platforms: Exposure to tools such as Collibra, Data Hub (or equivalent for governance and data quality) alongside standard PM software.
- Collaboration & Communication: Ability to navigate a matrixed organization, work across time zones, drive consensus among competing priorities, and build strong stakeholder relationships.
- Execution & Accountability: Strong problem-solving skills with a track record of delivering results on time and within budget in large, complex programs.
- 5+ years of combined experience in project management and data analysis, specifically focused on data-related initiatives, MDM, or data governance.
- Project Management certifications (e.g., PMP, CSM, PMI-ACP) are highly preferred.
- Industry-standard certifications in data management or analytics preferred.
- Deep familiarity with D&B data architecture, hierarchies, and enrichment preferred.
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