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Project Manager Business Analyst - Data & Reporting, Master Data Management

Job in Cupertino, Santa Clara County, California, 95014, USA
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
Salary/Wage Range or Industry Benchmark: 45 - 50 USD Hourly USD 45.00 50.00 HOUR
Job Description & How to Apply Below
Immediate need for a talented Project Manager Business Analyst - Data & Reporting, Master Data Management
. 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.
Key Requirements and Technology Experience:
  • 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.
Our client is a leading Banking Industry, and we are currently interviewing…
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