DATA STRATEGY ARCHITECT - HYBRID

A.C. Coy•Pittsburgh, PA

1d•Hybrid

About The Position

The A.C. Coy company has an immediate need for a Data Strategy Architect. Ideal candidates must have 8+ years in IT with direct responsibility for strategy formulation, experience designing modern data platforms, and a strong understanding of data architecture principles, including data integration, warehousing, and governance.

Requirements

Bachelor's degree or eight (8) years of additional experience in Information Technology.
Minimum of eight (8) years of business or IT experience with direct responsibility for strategy formulation, business analytics, or program management.
Strong understanding of data architecture principles, including data integration, warehousing, and governance.
Experience designing modern data platforms (Azure data platform, MS fabric, data lakes, cloud-based data ecosystems, etc.).
Experience in Data Driven initiatives, data architect frameworks, and integration strategies as well as data governance frameworks and data management best practices.
Master Data knowledge and experience.
Experience as an IT architect delivering solutions to diverse and complex business opportunities.

Responsibilities

Lead discovery efforts, including stakeholder interviews and process analysis, to identify gaps and opportunities in the organization’s data culture to drive towards strategic goals and targeted business outcomes, while considering IT investment priorities.
Continuous knowledge development of business capabilities, business processes, technology capabilities and standards for applicability and feasibility assessments.
Use the organization’s existing business and operating model as the starting point for innovation, for example, by using new technologies to enhance, enable and extend as a building block.
Research and provide consultation on emerging technology trends and disruptions and competitors' practices relevant to assigned business process/functions representatives.
Collaborate with the IT PMO on benefits, issues, risks of initiatives and reporting project status.
Analyze and anticipate project and product needs and determine resources needed to meet objectives and solve problems.
Capture business needs and collaborate with other IT thought leaders on solutions.
Question and challenge legacy assumptions, navigate ambiguity, and maintain a holistic or big picture view of the organization’s strategic landscape.
Convey complex technical solutions to various cross functional roles in the company for alignment, adoption, and measurable impact.
Define and lead the enterprise data strategy roadmap, aligning data initiatives with business priorities and long-term organizational goals.
Design and architect scalable data ecosystems, including data lakes, warehouses, and integration frameworks.
Establish best practices for data governance, data quality, and data lifecycle management.
Partner with business leaders to identify opportunities to leverage data for advanced analytics, reporting, and decision-making.
Evaluate and recommend data technologies, platforms, and tools to support evolving business needs.
Define data models and architectures that support value, volume, velocity, and variety of data across the organization.
Collaborate with IT delivery teams to ensure data solutions are effectively transitioned from strategy to execution.