Data Analytics & AI Solutions Engineer

Veranova L PDevens, MA
3hRemote

About The Position

As the Data Analytics & AI Solutions Engineer, you will play a key role in advancing our global data and analytics capabilities across a rapidly scaling CDMO environment. Following significant investments in standardizing systems, processes, and master data globally, the organization is shifting its focus to generating actionable insights, automated KPI reporting, and emerging AI‑enabled capabilities. In this role, you will design, build, and maintain Power BI dashboards, KPIs, and data models that draw from multiple global systems (ERP, LIMS, QMS, CRM, CMMS and other platforms). You will also support in evaluating, implementing, and operationalizing early‑stage AI use cases, working closely with both business stakeholders and IT teams. Location This role may be performed fully remote; however, candidates must be located on the East Coast of the United States, with flexibility for early start times to support UK operations.

Requirements

  • Bachelor’s degree in relevant field.
  • 3–7 years’ experience in data analytics or BI.
  • Strong Power BI, DAX, Power Query, and modeling skills.
  • Experience with enterprise data sources.
  • SQL and cloud analytics experience (Azure preferred).
  • Understanding of data governance and KPI standardization.

Nice To Haves

  • CDMO or pharmaceutical industry experience.
  • Exposure to AI concepts or tools.
  • Python or similar scripting experience.
  • Familiarity with APIs and ETL frameworks.
  • Strong stakeholder communication.

Responsibilities

  • Design, develop, and maintain high‑quality Power BI dashboards, KPI scorecards, and data models.
  • Translate business requirements into well‑structured analytical solutions across manufacturing, supply chain, quality, finance, and commercial areas.
  • Ensure consistency and global alignment on metrics, definitions, and UI/UX standards.
  • Optimize Power BI performance, including DAX calculations, data modeling, and incremental refresh.
  • Partner with business process owners to enable self-service analytics.
  • Extract, model, and transform data from multiple global systems.
  • Support data pipeline development for analytics and reporting.
  • Ensure data quality and reliability across reporting ecosystems.
  • Build shared datasets, semantic models, and standardized structures.
  • Help identify and scope early AI use cases.
  • Configure and support AI toolsets such as copilots and embedded SaaS AI.
  • Ensure safe and compliant AI usage in partnership with IT Security.
  • Provide training and documentation for AI-enabled tools.

Benefits

  • Health & Wellness: Comprehensive health & wellness benefits. Access to mental health resources and wellness programs. Generous PTO and holiday pay policies.
  • Financial Wellness: Veranova is committed to fair and transparent compensation practices. This includes a competitive base salary, eligibility for performance-based bonuses, and an attractive 401(k) Plan with company match. Salary ranges reflect the scope and expectations of the role, and are based on market data, internal equity, and role-specific factors. Final compensation may vary depending on experience, skills, education, and business needs.
  • Professional Development: Opportunities for continuous learning through LinkedIn Learning, workshops, conferences, and mentorship. Tuition Assistance for Undergraduate and Graduate degree programs.
  • Inclusive Culture: At Veranova, an inclusive culture is integral to our values. We welcome people with diverse experiences and perspectives who share our mission to improve and save lives. Even if you don’t meet every qualification, we encourage you to apply. Veterans, first responders, and those transitioning from military to civilian life bring valuable skills that strengthen our team.
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