Senior Data Consultant

Deep DSG•Raleigh, NC

3d•Hybrid

About The Position

We are seeking a Senior Data Consultant, who will lead the strategic alignment of industrial data across a global pharmaceutical manufacturing landscape. They will have knowledge of high-level business systems and floor-level automation, ensuring data from disparate sources is structured, interoperable and ready for advanced analytics. They will have extensive experience in data strategy, data integration, and data historian systems, with a strong ability to lead complex projects and mentor junior team members. This role involves providing strategic insights, leading data projects, and ensuring seamless operation and optimization of data systems.

Requirements

Bachelor’s or master's degree in data science, Computer Science, Statistics, or a related ﬁeld.
Minimum of 5-7 years of experience in data analysis, data management, or a related role, with focus on the following systems: AVEVA PI, AspenTech IP.21, AspenTech Inmation, Inductive Automation Ignition, PTC Kepware
5+ years' experience in a consulting environment.

Nice To Haves

Excellent verbal, written and presentation skills are essential.
Proven ability to manage multiple projects and meet deadlines.
Excellent problem-solving skills and attention to detail.
Strong understanding of data warehousing, ETL processes, and data governance.
Knowledge of industry standards such as ISA-88, ISA-95, FAIR data principles and data integrity principles (ALCOA+).
Strong understanding of GAMP 5 frameworks and Computer Systems Validation (CSV) within a regulated environment.
Understanding of ontologies and their role in standardization efforts is beneficial.
Experience with data visualization or analysis tools (e.g., Tableau, Power BI, etc.), or programming languages (such as SQL, Python, R, etc.) is a plus.

Responsibilities

Develop and implement comprehensive data strategies that align with business goals.
Lead the design, implementation, and optimization of advanced data solutions, including data historian systems.
Provide strategic insights and recommendations to senior management based on data analysis.
Lead and manage complex data projects from inception to completion, ensuring timely delivery and quality outcomes.
Coordinate with cross-functional teams to analyze data and business processes to identify gaps and recommend solutions to enable data standardization.
Develop and oversee the implementation of advanced data integration frameworks and methodologies.
Lead the evaluation and adoption of emerging data technologies to enhance system capabilities.
Establish best practices for data governance, ensuring data quality and consistency across all systems.
Drive innovation in data processing and analytics, leveraging machine learning and AI where applicable.