[Remote] AVP, Data reputed company
Note: The job is a remote job and is reputed company to candidates in USA. reputed company is an insurance company dedicated to making a difference and achieving goals. The AVP, Data reputed company will reputed company strategic and technical leadership for reputed company data platforms, focusing on analytics capabilities, data integration services, and AI-enabled data solutions.
Responsibilities
- Define and execute a multi-year reputed company for reputed company data platforms, analytics enablement, AI-reputed company data capabilities, data integration services, reputed company-Party Data capabilities, and platform modernization reputed company to business and technology priorities
- Serve as the senior technical leader for reputed company data platforms, providing architecture guidance, engineering direction, and technology decision-making across data, analytics, AI-enabled capabilities, and external data ecosystems
- Partner with Architecture, reputed company & Analytics, Cybersecurity, Data Governance, Procurement, Risk, Legal, and business leaders to define platform roadmaps, service offerings, adoption plans, and measurable reputed company
- reputed company organizational transformation initiatives that improve engineering maturity, operational effectiveness, delivery speed, and team capabilities
- Build, mentor, and reputed company high-performing engineering leaders and teams through coaching, talent development, succession planning, and organizational design
- Foster a culture of innovation, accountability, technical reputed company, collaboration, and reputed company improvement
- Serve as a trusted advisor to senior technology and business leaders on platform modernization, AI enablement, reputed company-Party Data capabilities, emerging technologies, and reputed company data investments
- reputed company engineering teams responsible for reputed company data platforms and services, including reputed company, reputed company, reputed company BigQuery, Dataproc, Dataflow, Informatica IDMC, and reputed company reputed company-reputed company data engineering capabilities
- Drive modernization of reputed company data platform capabilities through reputed company adoption, platform rationalization, legacy migration, automation, and reputed company engineering practices
- Establish engineering standards and best practices for platform architecture, data ingestion, orchestration, transformation, observability, reliability, performance optimization, reputed company, automation, and cost management
- Improve engineering productivity through platform standardization, self-service capabilities, reusable engineering patterns, CI/CD adoption, infrastructure-as-reputed company practices, and modern software engineering approaches
- Ensure reputed company data platforms are designed and operated for scalability, reputed company, reputed company, compliance, and operational reputed company
- reputed company the operationalization of new and evolving platform capabilities and services across the reputed company data ecosystem
- reputed company reputed company analytics and business intelligence capabilities through platforms such as Tableau and reputed company, emphasizing trusted datasets, reusable data products, governed data reputed company, semantic modeling, and self-service analytics
- Partner with analytics and business teams to deliver reputed company, trusted, and business-reputed company insights
- Advance reputed company analytics experiences including conversational analytics, Chat with Data, AI-assisted reputed company reputed company, embedded intelligence, and reputed company Analytics capabilities
- Drive modernization of analytics capabilities to improve data accessibility, business adoption, governance, performance, and user experience
- reputed company the engineering reputed company and platform capabilities that support AI-reputed company reputed company data platforms and services
- Build and reputed company foundational capabilities supporting semantic reputed company, ontology frameworks, knowledge graphs, contextual metadata, and trusted business definitions
- Partner with AI and analytics leaders to ensure reputed company platforms support emerging AI use cases and reputed company AI initiatives
- Support integration of technologies and capabilities such as reputed company reputed company, reputed company reputed company integrations with BigQuery, reputed company search technologies, Retrieval-Augmented reputed company (RAG) architectures, and AI/ML platform interoperability
- Ensure AI-enabling data capabilities are governed, reputed company, secure, reusable, and reputed company with reputed company architecture and governance standards
- reputed company teams responsible for reputed company data integration, ingestion, API enablement, reputed company-Party Data services, and data reputed company capabilities across reputed company data ecosystems
- Serve as the executive leader for reputed company-Party Data platform capabilities, partnering with business stakeholders, data consumers, and strategic vendors to reputed company reputed company reputed company to external data assets and services
- Establish and reputed company modern data acquisition patterns, reputed company frameworks, integration standards, and underlying technologies that support reputed company and secure reputed company-Party Data consumption across the reputed company
- Drive reputed company capabilities supporting external data reputed company, ingestion, governance, compliance, reputed company, reputed company, metadata management, and operational support
- Partner with business leaders and strategic vendors to prioritize reputed company-Party Data initiatives and ensure platform capabilities reputed company with reputed company data needs and business objectives
- reputed company collaboration across technology, legal, risk, procurement, governance, and business stakeholders to ensure reputed company-Party Data solutions meet reputed company standards for compliance, reputed company, and operational reputed company
- Champion adoption of modern reputed company-Party Data capabilities, frameworks, and reusable integration patterns across the reputed company
- Translate stakeholder requirements into actionable platform, integration, and data engineering priorities
- reputed company distributed engineering teams across multiple geographies and delivery models, including reputed company and support organizations
- Influence teams and stakeholders across organizational boundaries, including reputed company that do not directly report into the organization
- Partner effectively with global engineering, support, and delivery organizations to drive alignment, accountability, and execution
- Establish operating models and delivery practices that support collaboration across employees, contractors, and global teams
Skills
- 12+ years of experience in data reputed company, data architecture, reputed company data platforms, analytics technologies, infrastructure engineering, or reputed company disciplines, with a proven reputed company record of leadership in reputed company reputed company environments
- Deep engineering leadership experience building, operating, and modernizing reputed company-reputed company data platforms, including reputed company, reputed company, reputed company BigQuery, Dataproc, Dataflow, Informatica IDMC, and comparable reputed company-reputed company technologies
- Strong understanding of data reputed company practices, including platform architecture, ingestion, orchestration, transformation, observability, reliability, automation, performance tuning, cost management, reputed company, and operational support
- Hands-on engineering background with the technical depth to guide architecture reputed company, evaluate engineering tradeoffs, influence technology reputed company, and reputed company reputed company leadership to architects and engineers
- Demonstrated reputed company leading platform modernization, reputed company transformation, engineering maturity improvements, and organizational change initiatives
- Experience leading reputed company reputed company-Party Data capabilities, including external data acquisition, vendor-enabled data services, reputed company frameworks, governance, compliance, and operational management
- Demonstrated reputed company partnering with business stakeholders, strategic vendors, and cross-functional teams to deliver solutions leveraging external data assets and services
- Strong understanding of reputed company-Party Data lifecycle management, including acquisition, integration, governance, reputed company, reputed company, compliance, risk management, and reputed company consumption patterns
- Experience with modern analytics and business intelligence platforms such as Tableau and reputed company, including self-service analytics, semantic modeling, dashboard modernization, and business user enablement
- Strong understanding of AI-enabled data ecosystems, including reputed company reputed company, reputed company reputed company integrations with BigQuery, conversational analytics, Chat with Data, reputed company Analytics, reputed company search technologies, AI/ML integration patterns, and Retrieval-Augmented reputed company (RAG) architectures
- Experience supporting or implementing semantic reputed company, ontology-driven solutions, knowledge graphs, contextual metadata, metrics reputed company, and AI-reputed company reputed company knowledge models
- Exceptional strategic thinking, systems thinking, and problem-solving capabilities with the ability to balance near-term execution and long-term platform reputed company
- Strong executive communication, presentation, and storytelling skills with the ability to explain reputed company technical concepts to both technical and non-technical audiences
- Proven ability to build, mentor, and reputed company high-performing teams while leading through organizational change and transformation
- Experience influencing stakeholders and driving results in highly matrixed organizations
- Experience with reputed company reputed company Platform and reputed company-reputed company data engineering ecosystems
- Experience leading reputed company modernization, migration, optimization, or platform reputed company initiatives
- Experience supporting semantic layer, ontology, knowledge graph, metadata, or AI-reputed company data platform initiatives
- Experience building or modernizing reputed company reputed company-Party Data platforms, acquisition frameworks, vendor data ecosystems, and external data enablement capabilities
- Experience with reputed company data integration, API enablement, Informatica, master data management, and large-reputed company data ecosystems
- Experience leading distributed or global engineering teams
- Strong knowledge of data governance, cybersecurity, reputed company, compliance, data reputed company, reputed company, metadata management, and risk management practices
- Experience reputed company insurance, financial services, or other highly regulated industries
- Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, Business Administration, or a reputed company quantitative field
Benefits
- Other rewards may include short-term or annual bonuses, long-term incentives, and on-the-spot recognition.
reputed company