AI Data Specialist

Role: AI Data Specialist

Location: Dallas, TX (Remote)

Type: Contract

Role Summary:
Results-driven Data & Analytics Delivery Consultant with extensive experience leading end-to-end data programs and delivering scalable cloud-based data platforms. Adept at aligning business strategy with data-driven solutions, ensuring successful execution through strong delivery governance, stakeholder engagement, and technical leadership.

Key Responsibilities

Data Strategy & Delivery

• Lead the design, development, and delivery of data and analytics solutions aligned with business objectives.
• Define data adoption roadmaps including use cases such as reporting, forecasting, and operational optimization.
• Translate business requirements into scalable data architectures.

Program & Delivery Management

• Manage full lifecycle delivery of data programs (initiation, planning, execution, monitoring, and closure).
• Drive Agile/Waterfall hybrid delivery models ensuring timely, cost-effective, and high-quality outcomes.
• Establish KPIs, success metrics, and governance frameworks for data initiatives.

Data Engineering & Platform Enablement

• Architect and oversee enterprise data platforms on cloud ecosystems (Azure/AWS).
• Implement modern data architectures including data lakes, warehouses, and medallion (Bronze/Silver/Gold) frameworks.
• Ensure robust data pipelines for ingestion, transformation, and consumption using ETL/ELT tools.

Analytics & Reporting Enablement

• Enable end-to-end analytics lifecycle from data ingestion to visualization and reporting.
• Collaborate with analysts and business users to deliver actionable insights.
• Leverage platforms like Databricks and Snowflake for scalable analytics workloads.

Data Governance & Quality

• Establish enterprise data governance frameworks including lineage, cataloging, and access control.
• Drive data quality initiatives, compliance standards, and secure handling of sensitive data (PII, SOX).

Stakeholder & Client Engagement

• Act as a trusted advisor to business and technology stakeholders.
• Translate complex data concepts into actionable business insights.
• Lead cross-functional collaboration across finance, marketing, operations, and IT teams.

Team Leadership

• Build, mentor, and lead high-performing teams of data engineers, analysts, and product owners.
• Foster a culture of continuous improvement and delivery excellence.

Core Competencies

• Data & Analytics Delivery
• Data Strategy & Digital Transformation
• Cloud Data Platforms (AWS)
• Data Warehousing & Modeling (Dimensional, Data Vault)
• Data Governance & Master Data Management
• Agile, Scrum, and Program Management (PMP)
• Stakeholder Management & Executive Communication
• CI/CD and DevOps for Data

Technical Skills

• Cloud Platforms: AWS,Azure
• Data Platforms: Databricks (Unity Catalog), Snowflake
• Data Integration: Azure Data Factory, Airflow, Informatica
• Programming: Python, Spark, Shell scripting
• Visualization: Power BI, Tableau, Looker
• Tools: Jira, Azure DevOps

Key Achievements (Representative)

• Delivered enterprise-scale data platforms supporting thousands of users with cloud modernization initiatives.
• Built end-to-end data supply chains from ingestion to consumption with strong governance controls.
• Successfully managed complex transformation programs.
• Drove multiple high-impact projects annually, improving business performance and reducing operational costs.

Ideal Candidate Profile

• 15+ years of experience in data, analytics, and program delivery roles.
• Strong background in data platform engineering and analytics delivery.
• Hands on and lead from front.
• Proven leadership in managing large-scale enterprise transformations.
• Excellent communication skills with ability to influence senior stakeholders.
• PMP or equivalent project management certification preferred.