SALIOU DIALLO

AT&T's Chief Data Office runs enterprise-wide data strategy, governance, and AI adoption. Architect, design, and operationalize the governance systems that determine how AI and Generative AI are built and deployed across one of the world's largest telecommunications companies.

• Architected and maintain AT&T's enterprise AI governance framework managing the full lifecycle of 100+ GenAI use cases from Permit-to-Build (P2B) through Permit-to-Operate (P2O).
• Built and scaled a cross-functional governance operating model coordinating six risk domains (Legal, CSO, HR, Privacy, Compliance, Supply Chain), driving a 30% year-over-year increase in GenAI use case submissions.
• Co-led the migration of 2,300+ AI use cases from a legacy IAM platform to IBM WatsonX.gov with zero loss of record integrity, using phased data migration, field mapping, and validation frameworks.
• Designed fast-track approval pathways for low-risk, pattern-based use cases (Copilot, Ask Data, Ask Docs, AAW), standardizing routing logic and SLAs to accelerate time-to-deployment without compromising compliance.
• Led governance strategy for agentic AI and AAW 2.0, co-authoring AT&T's first formalized framework for multi-agent and tool-augmented AI systems, including P2B workflow requirements and MCP-related considerations.
• Authored the enterprise AI Governance Playbook and Data+AI Dictionary, the definitive references for submission pathways, governance stages, roles, and policy standards across AT&T.
• Developed Power BI dashboards and governance aging reports providing real-time visibility into 500+ use case statuses, improving senior leadership decision speed and accuracy by 30%.
• Drove the strategic migration from IBM WatsonX.gov to AT&T's AI-Fueled Governance (AIFG) platform, contributing to transformation planning, stakeholder communications, and continuity documentation.
• Coordinated Sev-1 escalations and platform outages (WatsonX, OpenPages) with IBM and internal teams, publishing service notices and recovery guidance to minimize disruption to enterprise reviewers.
• Contributed to governance design for M365 Copilot platform-level deployment, distinguishing platform-level approvals from individual use case approvals across the GenAI portfolio.
• Acted as primary liaison between Business Units, Architecture teams, Platform owners, and international HR to ensure global regulatory alignment across AT&T's GenAI platform footprint.

Selected for AT&T's competitive Technology Development Program. Embedded in the Access Construction & Engineering team focused on RAN (Radio Access Network) engineering and wireless network operations.

• Analyzed wireless network data with Python inside Ericsson Network Manager (ENM): cell status reports, administrative and operational states, and redundant license allocations across the RAN.
• Consolidated data from multiple departmental dashboards into a unified analytics platform for Department Heads, Project Managers, and Data Analysts.
• Conducted RF exposure testing at AT&T Stadium (Arlington, TX) to evaluate Air Interface Load Generator effects on Effective Isotropic Radiated Power (EIRP) for the Environmental Health & Safety team.
• Performed 5G network planning and optimization using Atoll, blending predictive models with live network data to support nationwide wireless build strategies.
• Submitted a cost-savings proposal projecting 85% energy cost reduction via solar panel integration on data center rooftops, plus a 26% federal tax credit.
• Built a Sensitive Personal Information (SPI) scanner detecting credit card numbers, SSNs, and PII across AT&T USA and AT&T Mexico databases using Python, SQL, and RegEx (TDP Hacks Cybersecurity Challenge).
• Led an Innovation Rewards Program (IRP) initiative as Idea Champion, coordinating cross-functional stakeholders and patent review for a network infrastructure improvement concept.

Engineer-in-Training on major Texas and Georgia Department of Transportation projects across a $1.6B+ project portfolio: roadway design, drainage analysis, and large-scale infrastructure planning.

• Contributed to the IH-635 LBJ Design-Build project: a $1.6B reconstruction across 3 segments, 70 bridges, 18 grade separations, 170 retaining walls, and 4 railroad crossings.
• Performed alignment/profile design, sight distance calculations, and driveway geometry analysis for the SR 20 Corridor Widening project (Georgia DOT).
• Conducted a Preliminary Drainage Study for the I-20/US 84 Interchange (Nolan County, TX): drainage area delineation, peak runoff computations, hydraulic analysis, and FEMA flood map integration.
• Developed proposed roadway schematics and typical sections (lane counts, median widths, clear zones, ROW limits) in Geopak and MicroStation for multiple TxDOT districts.
• Estimated earthwork volumes, material quantities, and costs to support planning and budget development across concurrent projects.
• Used AutoTurn to calculate and verify vehicular turn movements on complex corridor designs.
• Received the Make-A-Difference (MAD) Award (2020) for contributions to the IH-635 LBJ East Project.

• Maintained the Sanitary Sewer Elevation Study (SSES) database across concurrent municipal infrastructure projects.
• Supported SSES data analysis for municipal sewer system evaluation and planning.