Data Automation Lead

CFS • Pittsburgh, PA, US • 1d ago

Data Automation Lead

Location: Onsite Pittsburgh, PA (Visa sponsorship is not available for this position.)

Salary: $90,000 – $100,000

Overview

We are seeking a Data & AI Enablement Lead to help guide our organization through a critical technology and growth inflection point. This role sits at the intersection of data infrastructure, AI enablement, and operational execution.

The ideal candidate is neither purely IT nor purely strategic. Instead, this person acts as an internal builder, integrator, and translator—owning the practical work of transforming fragmented systems into a scalable, cloud‑first, AI‑enabled operating model.

This role is foundational and intentionally designed to evolve as the organization matures its data, AI, and automation capabilities.

Our organization is simultaneously:

Modernizing its technology stack
Preparing for future growth and potential acquisitions
Moving from early AI experimentation toward intentional, governed AI adoption

Today, data lives across disconnected systems with inconsistent structure, making automation and AI adoption difficult to scale safely. Leadership has identified the need for a dedicated internal owner who can connect strategy to execution, ensuring that data architecture, systems modernization, AI usage, and process design move forward in a coordinated and practical way.

Key Responsibilities

Data Infrastructure & Architecture

Lead the design and build‑out of a centralized data foundation (e.g., SQL database, data lake, Microsoft Fabric, or similar)
Coordinate data normalization, tagging, and consistency across core systems such as reporting platforms, CRM, and document management tools
Align data architecture with system migrations and cloud‑first initiatives
Ensure data structures are API‑friendly and designed for future automation and AI use cases

AI Enablement & Governance

Serve as the internal owner for AI enablement and adoption
Support and standardize the use of enterprise AI tools (e.g., Microsoft Copilot, Claude, or similar platforms)
Develop and promote best practices for prompts, workflows, and AI‑assisted processes
Establish governance, guardrails, and monitoring to ensure AI is used responsibly and consistently
Partner with HR, compliance, and leadership to support AI policy implementation

Process Translation & Automation

Partner with functional teams (research, operations, finance, accounting, administration, etc.) to understand existing workflows
Translate human‑driven processes into scalable, AI‑assisted or automated workflows where appropriate
Support process documentation and continuous improvement efforts
Help determine where automation adds value and where human oversight must remain

Systems Integration & Modernization

Support ongoing and planned migrations related to reporting, CRM, document management, and cloud collaboration tools
Help establish consistent data and process standards as systems are modernized
Ensure integrations are designed with future growth and scale in mind

Consultant & Vendor Partnership

Work alongside external consultants, IT providers, and technology vendors
Ensure internal ownership, context, and continuity beyond project‑based engagements
Coordinate execution once strategy is defined and ensure knowledge transfer into the organization

Role Characteristics

Internal, cross‑functional role (not client‑facing)
High interaction with senior leadership and department heads
Significant focus on enablement, training, and adoption across ~20–25 users as capabilities scale
Hands‑on role that values execution over theory
Evolving scope with opportunity for expanded responsibility over time

Qualifications & Experience

What Matters Most

Strong hands‑on experience building or integrating data systems and workflows
Comfort working in environments with ambiguity, change, and evolving priorities
Ability to translate business problems into technical and operational solutions
Experience partnering with non‑technical stakeholders

Helpful (But Not Required)

Experience with SQL databases, data lakes, cloud platforms (especially Microsoft/Azure ecosystems)
Exposure to AI tools, prompt engineering, or AI‑assisted workflows
Experience in financial services, advisory firms, professional services, or regulated environments
Prior experience working alongside external consultants or managed service providers

#ZRCFSTECH #LI-JB123 #INAPR2026

Click here to apply online

EB-1041970756

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