Leader of AI & Data Platforms

Leader of AI and Data Leader

Function/Department: Information Technology / Data & AI
Reports to: Chief Information Officer (CIO) & Vice President IT
Location: Chandler AZ or Hollister CA fully on-site
FLSA: Exempt

Job Summary
PacSci EMC is seeking a hands-on AI engineering leader to accelerate enterprise AI adoption and build the governed data foundations that enable practical secure business solutions. This leader personally develops deploys and sustains production AI and data capabilities while leading a small team across data engineering architecture and application and analytics development.
The AI and Data Leader leads technical architecture and data readiness for the Palantir Foundry initiative in partnership with the business SME leader and PMO while advancing enterprise data stewardship lifecycle management and self-service tools. The role combines technical execution team development and executive influence in an evolving environment. It also participates in the Ralliant Technology & Growth Council with up to 20% allocation contributing to enterprise architecture reviews innovation standards and cross-operating-company technology direction.

Responsibilities
Evaluate and recommend secure compliant AI tools; personally implement and operationalize priority solutions that improve productivity and enable business teams to use AI effectively.
Identify and prioritize AI opportunities across Planning Buying Manufacturing Operations Factory Management Engineering PMO and other business functions; translate operating challenges into practical solutions and measurable outcomes.
Lead and develop a small team across data engineering architecture and Power BI/Power Platform development; provide technical coaching establish delivery priorities and build team capability as business needs evolve.
Lead technical architecture data readiness and implementation support for Palantir Foundry in partnership with the business SME leader who retains overall program delivery accountability and PMO; coordinate appropriate technology resources and architectural decisions.
Establish enterprise data warehousing stewardship and lifecycle-management practices including labeling lineage retention role-based access auditability and clearly defined data ownership.
Use Microsoft Purview to support data governance and lifecycle-management practices across priority data domains.
Build and maintain production-grade pipelines transformations data models and reusable integration patterns; develop governed ontologies lightweight applications and self-service data products as business priorities require.
Partner with manufacturing engineering and other technical specialists on SCADA/OT data integration reference data products and anomaly-detection use cases; establish data architecture standards and document interfaces and operational runbooks.
Enable business users through training practical playbooks quick-start templates and hands-on collaboration; support citizen development within appropriate access and compliance guardrails.
Partner with analytics developers to deliver dashboards signals and triggers that improve operational visibility and actionability including order execution and cost tracking.
Own reliability of AI and data assets through monitoring observability performance tuning troubleshooting and ongoing production support; implement reusable quality checks and alerts.
Present technology options and recommendations to leaders with clear cost impact risk and implementation tradeoffs; collaborate on decisions and balance immediate delivery needs with enterprise standards.
Define baselines and track solution adoption and business impact including hours saved manual effort reduced automated transactions efficiency revenue enablement and supply-chain execution performance.
Maintain an actionable opportunity backlog data product catalog access reviews and governance routines aligned with PMO practices; contribute to Ralliant technology and architecture forums.

First 6 to 12 Months Focus and Deliverables
Build relationships with manufacturing quality program management supply chain and other business partners to understand pain points and establish a prioritized AI opportunity pipeline.
Support the Palantir initiative through sound technical architecture data readiness and delivery of initial governed data products and Foundry assets.
Implement an enterprise data layer strategy with clear ownership warehousing standards lifecycle practices and appropriate governance and access safeguards.
Expand secure self-service AI tools and adoption through training practical use cases and reusable development standards.
Demonstrate sustained production delivery and measurable business improvements in productivity manual effort efficiency revenue enablement or supply-chain execution.

Qualifications
5 years in analytics data platforms AI enablement or data governance roles with proven hands-on delivery.
Demonstrated personal experience building deploying and sustaining production AI and data solutions including production-grade pipelines and appropriate operational safeguards.
Strong hands-on proficiency with SQL and Python/PySpark; experience with data modeling orchestration and observability.
Experience with Microsoft Purview and enterprise data governance stewardship or lifecycle management.
Demonstrated ability to learn enterprise data platforms guide architectural decisions and coordinate technical delivery across business and technology teams.
Working knowledge of Power BI or similar analytics tools and the ability to partner with developers on governed self-service analytics.
Strong cross-functional influence and executive communication; ability to explain technical concepts clearly to non-technical audiences and support recommendations with evidence and business impact.
Ability to lead technical work coach colleagues and collaborate effectively while remaining personally involved in engineering and delivery.
Comfort operating in an evolving environment prioritizing amid ambiguity developing practical prototypes and carrying solutions through implementation and ongoing support.

Preferred Qualifications
Experience with Palantir Foundry including pipelines ontology and application development; strongly preferred.
Background in aerospace and defense or other highly regulated industries with strict data and compliance requirements such as ITAR FAR/DFARS or DCAA.
Familiarity with controlled unclassified information (CUI) FedRAMP requirements and secure cloud deployment practices.
Working knowledge of SCADA/OT data environments ERP/MES/PLM data structures and manufacturing execution workflows.
Experience building AI or data capabilities in a startup technology disruptor or similarly resource-constrained environment with demonstrated implementation results.
Familiarity with Lean principles and structured problem solving; ability to balance rapid delivery with compliance and sustainable operations.

Employment Eligibility
Due to U.S. Government contract requirements applicable to this position only U.S. citizens are eligible for employment in this role.

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