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Feras G.

Feras G.

Pricing Operations & Frameworks Lead in Contract Review, Compliance, and Legal Research

USA flagPittsburg, Usa

Key Skills

Software

Other

Top Subject Matter

Enterprise pricing data quality and ERP-connected pricing workflow governance
Operational master data quality and exception detection for procurement and inventory workflows
Business forecasting and campaign performance data reliability

Top Data Types

TextText
DocumentDocument

Top Task Types

Evaluation/RatingEvaluation/Rating
Prompt + Response Writing (SFT)Prompt + Response Writing (SFT)
RLHFRLHF
ClassificationClassification
Question AnsweringQuestion Answering
Text GenerationText Generation

Freelancer Overview

Pricing Operations & Frameworks Lead in Contract Review, Compliance, and Legal Research. Brings 15+ years of professional experience across complex professional workflows, research, and quality-focused execution. Core strengths include Internal, Proprietary Tooling, and Other. Education includes Bachelor of Science, San Francisco State University (2012) and Master of Business Administration, Gies College of Business, University of Illinois Urbana-Champaign (2027). AI-training focus includes data types such as Text and labeling workflows including Evaluation and Rating.

Labeling Experience

Pricing Operations & Frameworks Lead | Adobe | San Jose, CA | Jan 2026–Present

TextText

Owned data validation and governance for enterprise pricing automation tooling used to create SKUs and manage ERP-connected pricing workflows. Led end-to-end UAT by defining acceptance criteria, documenting defects, validating fixes, and supporting go/no-go release decisions. Applied agentic AI along with Excel and Power Query to automate data review, detect pricing discrepancies, and accelerate root-cause analysis. • Data validation and discrepancy detection for pricing processes • UAT test design, acceptance criteria, and defect documentation • Validation of ERP integration and workflow dependencies • Governance standards supporting auditability and reporting reliability

2026 - Present

Product & Operations Manager | Manakish Inc. | San Jose, CA | Dec 2019–Nov 2025

TextText

Led implementation of Oracle Symphony to establish a governed operational data foundation across POS, ordering, inventory, vendor, and reporting workflows. Managed procurement, inventory, vendor, and product data workflows to improve data accuracy and ordering visibility for decision support. Applied agentic AI across procurement, inventory review, and reporting workflows to surface exceptions and reduce operational costs while improving cycle time. • Exception surfacing and discrepancy review in procurement/inventory workflows • Data governance for multi-location operational datasets • KPI/reporting product consolidation requiring data standardization • Process documentation to improve reporting logic and consistency

2019 - 2025

Senior Data Analyst, Ads & Business Products | Facebook (Meta) | Menlo Park, CA | Sep 2018–Aug 2019

OtherTextText

Designed pricing and forecasting models to support product launches and GTM decisions across advertising products. Productized campaign performance reporting for internal stakeholders, improving turnaround time and adoption of self-serve reporting. This role required preparing and validating structured business data for reliable downstream analysis. • Forecasting and pricing model input/output preparation • Performance reporting structure and validation for stakeholders • Reducing discrepancies and improving reporting usability • Supporting reliable analytics decision-making through vetted data

2018 - 2019

Data Analyst, Supply Chain Master Data | Gilead Sciences | Foster City, CA | Feb 2016–Jul 2017

TextText

Managed and governed supply chain master data across manufacturers, vendors, products, and operational domains to support global reporting and audit readiness. Monitored data quality, identified recurring data issues, and partnered with business and technical stakeholders to resolve discrepancies. Documented data processes, standards, and validation rules to reduce master data errors and improve compliance readiness. • Master data quality monitoring and recurring issue identification • Resolution of supply chain data discrepancies • Documentation of validation rules and data standards • Audit readiness support through governed data controls

2016 - 2017

Education

G

Gies College of Business, University of Illinois Urbana-Champaign

Master of Business Administration, Business Administration

Master of Business Administration
2025 - 2027
S

SAP

Record of Achievement in S/4HANA, SAP, Enterprise Resource Planning and Data Systems

Record of Achievement in S/4HANA, SAP
2025 - 2025

Work History

A

Adobe

Pricing Operations & Frameworks Lead

San Jose
2026 - Present
M

Manakish Inc.

Product and Operations Manager

San Jose
2019 - 2025