Director, Product Management – Enterprise Data Platform

🕒 Ontem

🇺🇸 Estados Unidos – Remoto (EUA)

💵 $107.667 - $150.734 / ano

⏰ Tempo Integral

🔴 Especialista

🚰 Engenheiro de Dados

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Sedgwick

SiteLinkedInTodas as Vagas

10.000+ funcionários

🏗️ Construção

💼 Consultoria

🏥 Saúde

Construction • Consulting • Healthcare

A Sedgwick é uma fornecedora global de soluções de tecnologia para riscos, benefícios e negócios integrados. Eles ajudam pessoas e organizações a gerenciar e mitigar riscos com soluções em administração de sinistros de acidentes, saúde, invalidez, compensação por desemprego e responsabilidade, entre outros. A Sedgwick oferece serviços como administração de sinistros, consultoria de construção, contabilidade forense e engenharia forense. Suas especialidades incluem restauração de propriedades, proteção de marcas e prevenção de perdas em vários setores, incluindo agricultura, construção e setores ambientais. A empresa enfatiza diversidade, equidade e inclusão (DEI) e práticas ambientais, sociais e de governança (ESG).

Descrição

• Define the capabilities required of the enterprise data foundation, including governed data sharing, access controls, entity resolution, semantic models, shared definitions, and data quality standards • Partner with Data Architecture and Data Engineering to design scalable, secure, and well-governed platform capabilities • Champion modern data architecture practices, including data mesh and layered (medallion) architectures • Establish standards for semantic context, metadata, governance, and data design • Define and own the vision and multi-year roadmap for the enterprise data foundation, beginning with the Snowflake platform • Align platform investments with enterprise priorities and downstream data product needs • Establish and monitor platform success measures, including data quality, availability, performance, adoption, operational efficiency, and cost optimization • Apply Product Operating Model principles to platform intake, prioritization, backlog management, and outcome measurement • Own intake and prioritization for enterprise data platform initiatives • Balance business value, urgency, risk, dependencies, effort, and cost when prioritizing investments • Maintain a strategic backlog and facilitate stakeholder alignment through prioritization forums and governance discussions • Identify demand trends and opportunities for reusable platform capabilities • Partner with Data Engineering, Data Architecture, Governance, and platform administration teams to deliver roadmap commitments • Translate business requirements into technical product requirements, user stories, and acceptance criteria • Leverage SQL and technical fluency to validate delivered solutions • Partner with Governance and FinOps teams to manage platform consumption, forecast costs, and promote cost-effective growth • Ensure support for analytics, data science, and AI workloads through data quality, lineage, governance, semantic context, and performance management • Establish performance metrics, reporting, and documentation standards • Build alignment across business, operations, technology, governance, security, privacy, and compliance stakeholders • Ensure implementation and maintenance of role-based access, masking policies, data classification, retention, lineage, and auditability controls • Communicate platform strategy, releases, priorities, and performance through executive reporting, documentation, and stakeholder engagement • Act as a trusted advisor on data platform capabilities, governance requirements, and strategic opportunities • Maintain awareness of emerging Snowflake capabilities and modern data architecture trends

🎯 Requisitos

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related technical field required • Ten (10) or more years of experience in product management, data platform, data engineering, or data architecture roles • At least five (5) years in technical product management for data platforms • Hands-on experience with Snowflake, either as a technical practitioner or product owner of a Snowflake-based platform • Strong experience with data warehousing, data mesh, dimensional modeling, layered (medallion) architecture, semantic modeling, and ELT pipelines • Demonstrated success shaping data platform capabilities, influencing engineering direction, and partnering across business and technology teams • Experience leading intake and prioritization processes for shared enterprise platforms serving multiple business units • Strong knowledge of enterprise data platform architecture, storage concepts, governance, performance optimization, and cost management • Expertise in data modeling, semantic modeling, metadata management, lineage, and data catalog concepts • Strong SQL proficiency with the ability to independently validate data solutions and review technical designs • Familiarity with Snowflake governance and administration concepts including RBAC, secure data sharing, access controls, and consumption management • Strong prioritization, stakeholder management, communication, and executive influencing skills • Understanding of how data quality, governance, and semantic context impact analytics and AI outcomes • Ability to lead through influence in highly matrixed environments while balancing business priorities, technical constraints, and long-term platform health • Strong knowledge of Agile methodologies and Product Operating Model practices

🏖️ Benefícios

• Medical insurance • Dental insurance • Vision insurance • 401(k) and matching • Paid time off (PTO) • Disability insurance • Life insurance • Employee assistance • Flexible spending account or health savings account • Other additional voluntary benefits • Work-life balance • Equal opportunity and drug-free workplace