Astronics

Lead, Data Readiness & Data Products

Astronics • $120K — $150K *
Cincinnati, OH 45238In-Person
Enterprise Technology
11 - 15 years of experience
2 weeks ago
Job Overview by Ladders

Qualifications

  • 12+ years in enterprise data, analytics, data governance, or related fields.
  • Proven success in leading large-scale, cross-functional data initiatives.
  • Preferred experience in regulated and compliance-sensitive environments.
  • Demonstrated capability in enabling AI and advanced analytics initiatives.
  • Strong

Responsibilities

  • Define and implement an enterprise data readiness strategy for AI and analytics.
  • Develop a prioritized portfolio of reusable, governed enterprise data products.
  • Establish data standards across definitions, lineage, ownership, and quality.
  • Ensure system interoperability and consistent entity resolution.
  • Collaborate with leaders to align data products with decision-making needs.
  • Facilitate AI-driven automation and decision support processes.
  • Define data quality thresholds based on decision materiality and risk.

Benefits

  • Collaborative work environment with cross-functional teams.
  • Opportunity to lead innovative data initiatives and AI solutions.
  • Enhanced professional development through cutting-edge data practices.
  • Empowerment to drive data governance and quality across an enterprise.
  • Focused on responsible data usage and regulatory compliance.
Full Job Description
The Lead, Data Readiness & Data Products will:
  • Establish enterprise standards for data used in AI, analytics, and automation
  • Ensure data quality, ownership, and access are aligned to business decisions, not just reporting
  • Enable rapid, responsible AI deployment while maintaining strong governance and risk controls
  • Create reusable data products that reduce friction and accelerate value realization

Key Responsibilities

Enterprise Data Readiness Leadership
  • Define and lead the enterprise data readiness strategy supporting AI, analytics, and automation.
  • Establish a prioritized portfolio of enterprise data products (e.g., tenant, lease, unit, property, operations) that are reusable, governed, and decision-ready.
  • Set standards for data definitions, lineage, ownership, and quality across the organization.
  • Ensure consistent entity resolution and interoperability across systems.

AI & Decision Enablement
  • Partner with executive and business leaders to align data products with high-value decisions and workflows.
  • Enable both:
    • AI-driven automation (document intelligence, task support, workflow augmentation)
    • AI-driven decision support (predictions, recommendations, prioritization)
  • Establish criteria for determining when data is appropriate for AI training vs. inference.

Data Quality, Ownership & Accountability
  • Define data quality thresholds aligned to decision risk and materiality, not generic standards.
  • Establish enterprise accountability for data quality, including business ownership and stewardship.
  • Implement practical monitoring and escalation processes to resolve data issues quickly.

Governance, Risk & Compliance Partnership
  • Partner closely with Legal, Compliance, Security, and technical governance teams to ensure:
    • Data usage complies with regulatory, contractual, and internal policy requirements
    • Access controls, auditability, and retention rules are embedded operationally
  • Serve as an executive steward of responsible AI data practices.

Cross-Functional Executive Partnership
  • Act as the senior data readiness partner to:
    • Business and operations leadership
    • IT and AI engineering teams
    • Analytics and data science
    • Legal, compliance, and risk functions
  • Drive alignment and decisions across competing priorities in a matrixed environment.

Value Delivery & Scale
  • Enable early AI and automation pilots and help scale those that demonstrate value.
  • Establish repeatable operating patterns so each new use case is faster, safer, and easier to deliver.
  • Report progress and outcomes using business-relevant metrics that leadership cares about.

Required Qualifications

Experience
  • 12+ years of experience in enterprise data, analytics, data governance, or related disciplines.
  • Demonstrated success leading cross-functional data initiatives at scale.
  • Experience operating in regulated, compliance-sensitive, or public-company environments strongly preferred.
  • Experience enabling AI, advanced analytics, or decision intelligence capabilities preferred.

Leadership Capabilities
  • Strong "data-as-a-product" mindset with a bias toward execution.
  • Proven ability to influence senior leaders across business, legal, and technology functions.
  • Comfortable resolving ambiguity, tradeoffs, and resistance.
  • Exceptional communication skills with executive presence.

Technical Fluency (Not a Coding Role)
  • Familiarity with modern data platforms, integration patterns, and analytics architectures.
  • Understanding of unstructured data management (e.g., contracts, documents) in controlled environments.
  • Working knowledge of how AI systems consume data (training vs. inference, bias, drift, lineage).

About Astronics

Astronics Corporation is a supplier of advanced technologies and products to the global aerospace, defense, and semiconductor industries. The company’s products and services include advanced electrical power generation and distribution systems, lighting and safety systems, avionics products, aircraft structures, engineering design and certification services, and automated test systems. Astronics serves customers in the commercial, military, and business jet markets, as well as the semiconductor industry. The company was founded in 1968 and is headquartered in East Aurora, New York.
Learn more about Astronics
Size
2,100 employees
Market Cap
$376.5 million
Industry
Aerospace & Defense
Net Income
-$115.7 million
Founded
1968
5 Year Trend
-6.8%
Revenue
$502.5 million
NASDAQ
ATRO
* Ladders Estimates

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