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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading enterprise data governance, managing data platforms, and driving innovation through artificial intelligence and automation. Proven ability to partner with cross-functional teams to deliver data-driven business outcomes and establish effective data management practices.
Highest-signal resume keywords
Data Governance Program ManagementData Platform StrategyArtificial Intelligence DeploymentBusiness Intelligence DeliveryStakeholder Management
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ArchitectureData ModelingAnalytics ConceptsData Quality ManagementDigital TransformationEmerging Technology EvaluationBusiness Outcome MeasurementData IntegrationAutomation InitiativesMaster Data Management
Soft Skills
Influence SkillsClear CommunicationTeam-Building CapabilityCuriosityComfort with Ambiguity
Tools & Technologies
Data WarehouseBusiness Intelligence ToolsLow-Code PlatformsIntelligent Automation SolutionsEnterprise Applications
Industry Keywords
Corporate InnovationEnterprise Data ProgramStakeholder EngagementVendor ManagementRisk Evaluation
Tech Stack
Tools & technologiesCyber Security
About the role
Key responsibilities & impact- Own the corporate innovation agenda, including AI, and the enterprise data program
- Partner with Finance, HR, Sales, Marketing, Customer Service, and Operations leaders to identify opportunities for automation and translate them into initiatives
- Build and maintain a business outcome-based roadmap for innovation, data, and AI
- Establish and lead enterprise data governance, including ownership, stewardship, definitions, quality, access, privacy, and retention policies
- Own the enterprise data platform and warehouse strategy, including pipelines and integrations
- Lead the analytics and business intelligence agenda toward self-service insight and a single source of truth
- Set the enterprise approach to artificial intelligence from use-case selection through responsible and secure deployment
- Identify, evaluate, and pilot emerging technologies, including intelligent automation and low-code platforms
- Assess and address shadow IT and shadow data, including risk evaluation and supported solutions
- Build and lead a small innovation and data team
- Hire and develop OT/IT Innovation Engineer and Data Engineer roles
- Manage vendor relationships and pilot agreements
- Define and run an intake, evaluation, and stage-gate process for ideas and initiatives
- Partner with Cybersecurity and Enterprise Applications leaders to ensure work is secure, integrated, and supportable
- Report to the VP of IT/Technology
Requirements
What you’ll need- Bachelor's degree in Information Technology, Data and Analytics, Business, Engineering, or a related field required, or an equivalent combination of education and experience
- 7+ years of experience in technology product management, data and analytics leadership, business relationship management, digital transformation, or a comparable role
- Demonstrated experience partnering with business functions to define and deliver technology- and data-enabled business outcomes
- Experience owning a data and analytics function, including data platform or warehouse strategy, pipelines and integration, and business intelligence delivery
- Experience establishing or running a data governance program, including stewardship, data quality, and master data management
- Experience evaluating and deploying emerging technology, including artificial intelligence or intelligent automation, in a production business setting
- Track record of measuring and defending the business value of technology and data investments
- Strong business acumen and genuine curiosity about how the business makes money
- Excellent influence and stakeholder management skills, particularly without direct authority
- Working fluency in data architecture, data modeling, and analytics concepts
- Ability to distinguish real opportunity from novelty
- Clear communication skills for explaining technology and data to non-technical leaders and business context to technical teams
- Comfort with ambiguity and with building process where none exists
- Hiring, coaching, and team-building capability
Benefits
Comp & perks- Health, Dental, and Vision insurance
- Prescription Plan
- 401(k) with company match
- Tuition Reimbursement
- Disability Plan
- Paid Vacation and 10 Holidays
- Health Club Reimbursement
- Bonus program
- Wellness program
- Hybrid work arrangement