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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in leading complex data and analytics initiatives, with a strong focus on data governance, quality, and modern data architecture. Proficient in translating business objectives into actionable data solutions while fostering collaboration across teams.
Highest-signal resume keywords
Data GovernanceData Quality ManagementModern Data ArchitectureMicrosoft FabricData Engineering
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 ModelingData IntegrationData TransformationData AnalyticsSQLPython/PySparkCloud-Based Data PlatformsBatch ProcessingStreaming ProcessingMetadata Management
Soft Skills
Analytical SkillsProblem-SolvingCollaborationCommunicationFacilitation
Tools & Technologies
Microsoft FabricAzureSparkGitCI/CDData PipelinesNotebooksObservability
Industry Keywords
Data StrategyData Governance PracticesMaster Data ManagementData Quality ControlsEnterprise Data
Tech Stack
Tools & technologiesAzureCloudPySparkPythonSparkSQL
About the role
Key responsibilities & impact- Lead complex, cross-functional data and analytics initiatives aligned with business and enterprise data strategies
- Translate business objectives and requirements into data, analytics, and technology solutions
- Develop frameworks, roadmaps, and implementation plans for strategic data initiatives
- Lead the design and delivery of scalable data solutions
- Provide technical guidance for data ingestion, transformation, integration, storage, modeling, and consumption
- Support modernization of legacy data platforms and processes through cloud, lakehouse, and modern data engineering patterns
- Establish and promote data governance, stewardship, metadata, lineage, and quality practices
- Define and monitor data quality controls, validation rules, reconciliation processes, and metrics
- Enable integrated analytical capabilities with analytics, data engineering, product, and business teams
- Support trusted enterprise master data sources and reduce duplication across data assets
- Partner with security, governance, and technology teams to protect enterprise data
- Lead integrated, multi-track projects; establish controls, track performance, manage dependencies, and communicate risks and status
- Collaborate across business units and technology teams to resolve complex data and delivery challenges
- Translate complex technical concepts into business implications, capabilities, risks, and recommendations
- Communicate with technical teams, business stakeholders, and senior leadership
- Mentor team members and promote data and analytics best practices
Requirements
What you’ll need- 7 or more years of relevant experience in data, analytics, technology, consulting, or related disciplines (Preferred)
- Experience leading complex or cross-functional data and analytics initiatives (Preferred)
- Strong knowledge of data and analytics strategy, data governance, data quality, data engineering, and analytics
- Strong understanding of modern data architecture, including lakehouse, data warehouse, batch and streaming processing, and cloud-based data platforms
- Hands-on knowledge of Microsoft Fabric, Azure, Spark, Python/PySpark, SQL, or equivalent modern data technologies
- Experience with data modeling, data integration, metadata, lineage, master data management, and data quality practices
- Understanding of Microsoft Fabric capabilities including Lakehouse, Warehouse, OneLake, Notebooks, Data Pipelines, and Semantic Models
- Experience with Git, automated testing, CI/CD, monitoring, and observability
- Strong analytical and problem-solving skills
- Ability to lead complex cross-functional initiatives and influence outcomes without direct authority
- Ability to translate technical concepts into business capabilities and communicate effectively with senior stakeholders
- Strong collaboration, facilitation, consulting, and written and verbal communication skills
- Background investigation required
- Allstate generally does not sponsor individuals for employment-based visas for this position
- Dedicated, private workspace free from distractions when working from home
- Appropriate desk and seating when working from home
- Reliable internet with minimum speeds of 50 MB download and 5 MB upload
Benefits
Comp & perks- Comprehensive technology setup, including a laptop, monitors, headset, keyboard, and mouse
- Monthly connectivity reimbursement for employees eligible to work from home
- Remote work arrangement
- Meaningful work supporting causes that matter
- Professional growth and skill development opportunities
