Similar Jobs
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Manages strategic partnerships with benefits technology firms to drive sales growth, market expansion, partner enablement, data integration, and go-to-market initiatives. Owns partner relationships, develops joint business plans, coordinates cross-functional teams, manages pipeline development, and tracks performance metrics. Requires experience in group benefits or insurance distribution, benefits administration platforms, relationship management, and strategic stakeholder influence.
Top Skills:
AIAPIsBenefits Administration PlatformsHcm SystemsPayroll Systems
Fintech • Information Technology • Insurance • Financial Services • Big Data Analytics
Leads operational risk management activities supporting Mexico and South America within MetLife’s Global Customer Service & Operations organization. Maintains risk and control data in OpenPages, performs non-financial risk assessments and control environment reviews, supports issue and control-metric identification, evaluates AI opportunities, and produces executive and detailed risk reporting. The role partners with regional stakeholders, Global Risk Management, Internal Audit, and Compliance while requiring fluent Spanish and English.
Top Skills:
Microsoft CopilotExcelMicrosoft PowerpointMicrosoft VisioOpenpages
Artificial Intelligence • Professional Services • Business Intelligence • Consulting • Cybersecurity • Generative AI
Supports clients through ERP transformation initiatives, including business application analysis, process design, implementation, testing, deployment, integration, training, and adoption. Manages agile delivery workstreams, requirements, risks, timelines, and dependencies; documents solutions and status; reviews deliverables; mentors junior team members; and builds client relationships. The role focuses on field service and operations modernization using platforms such as SAP, Salesforce, Maximo, ESRI, SEW, and IFS.
Top Skills:
AgileErpEsriIfsMaximoSalesforceSAPSew
Leads the architecture and implementation of Nokia’s scalable data platforms for photonic integrated circuit operations. Responsibilities include developing lakehouse and warehouse solutions, data models, batch and streaming pipelines, data quality and observability frameworks, CI/CD and DataOps practices, governance, security, and AI-ready data foundations. The role also leads and mentors product engineering teams, enables secure self-service analytics, and drives enterprise data excellence and innovation.
At Nokia, we are shaping the future of connectivity and innovation. We are seeking a visionary and experienced Program Manager, PIC Data Engineering, to lead the development of our next-generation data platforms, driving strategic insights and enabling AI-powered solutions across our global enterprise for photonic integrated circuit (PICs) technology. This role is critical in building the robust, secure, and scalable data foundations that underpin Nokia's digital transformation and technological leadership.
Responsibilities- Strategic Data Architecture: Lead the architectural design and hands-on implementation of cutting-edge, scalable cloud-based lakehouse and data warehouse solutions in PICs operation, primarily leveraging Databricks and AWS or alike to support Nokia's evolving operation data needs.
- Data Model Evolution: Drive the design, optimization, and evolution of enterprise data models and semantic layers, ensuring they are robust, future-proof, and aligned with business objectives.
- High-Performance Data Pipelines: Engineer, build, and maintain resilient, high-performance batch and real-time data pipelines, encompassing advanced ETL/ELT and streaming solutions to deliver timely and accurate data.
- Data Trust & Quality: Establish and champion comprehensive data quality frameworks, monitoring, and observability practices to ensure the integrity, reliability, and trustworthiness of our data assets.
- Operational Excellence: Implement CI/CD pipelines and DataOps best practices, fostering automation, reliability, and secure deployment across our data ecosystem.
- Enterprise Data Governance: Spearhead the implementation of robust enterprise data governance standards, including data cataloging, lineage, metadata management, and stringent data access controls.
- Security by Design: Design and enforce strong security protocols and role-based access management across all enterprise data platforms, safeguarding sensitive information.
- AI-Ready Data Foundations: Build governed, AI-ready data foundations that empower self-service analytics, AI-assisted data exploration, and advanced analysis, leveraging capabilities such as Databricks Genie and Genie Code.
- Empowering Data Users: Enable business, engineering, and analytics teams to securely access trusted enterprise data, fostering conversational analytics and AI-assisted analysis while upholding stringent governance, security, and data quality standards.
- Innovation Catalyst: Develop the foundational data infrastructure essential for pioneering AI, automation, machine learning, and advanced analytics initiatives that drive Nokia's competitive edge.
- Team Leadership & Mentorship: Lead, mentor, and inspire a high-performing team of product engineers, setting technical standards, promoting engineering best practices, and fostering continuous professional growth.
- Culture of Excellence: Champion a culture of data excellence, accountability, self-service enablement, and continuous innovation within the organization.
- Extensive Experience: 15+ years of progressive experience in data engineering, data architecture, or related fields, with a proven track record of delivering impactful solutions in wafer and chip fabrication process.
- Education: Bachelor's degree. Master's degree preferred.
- Leadership Acumen: 5+ years of experience leading, developing, and inspiring technical teams, fostering a collaborative and high-achieving environment.
- Technical Mastery: Deep expertise in SQL, modern cloud data platforms, and distributed data processing frameworks.
- Cloud Data Platform Proficiency: Hands-on experience with leading cloud data platforms such as Databricks, Redshift, or BigQuery.
- Governed Data Platforms: Demonstrated experience in building governed data platforms and data products that effectively support self-service analytics, AI-assisted analytics, machine learning, and advanced analytical workloads.
- Databricks Ecosystem (Preferred): Experience with Databricks capabilities, including lakehouse architecture, Unity Catalog, and AI-assisted analytics features like Genie and Genie Code, is highly preferred.
- Data Modeling Expertise: Strong understanding of enterprise data modeling principles, including dimensional modeling and semantic layers.
- Orchestration & Automation: Experience with data orchestration tools and advanced data pipeline automation techniques.
- Scalability & Reliability: Proven ability to design and implement scalable, secure, governed, and reliable enterprise data solutions.
- Collaborative Communication: Exceptional communication and interpersonal skills, with a proven ability to partner cross-functionally with business, engineering, analytics, and technology teams to drive shared success.
What you need to know about the Seattle Tech Scene
Home to tech titans like Microsoft and Amazon, Seattle punches far above its weight in innovation. But its surrounding mountains, sprinkled with world-famous hiking trails and climbing routes, make the city a destination for outdoorsy types as well. Established as a logging town before shifting to shipbuilding and logistics, the Emerald City is now known for its contributions to aerospace, software, biotech and cloud computing. And its status as a thriving tech ecosystem is attracting out-of-town companies looking to establish new tech and engineering hubs.
Key Facts About Seattle Tech
- Number of Tech Workers: 287,000; 13% of overall workforce (2024 CompTIA survey)
- Major Tech Employers: Amazon, Microsoft, Meta, Google
- Key Industries: Artificial intelligence, cloud computing, software, biotechnology, game development
- Funding Landscape: $3.1 billion in venture capital funding in 2024 (Pitchbook)
- Notable Investors: Madrona, Fuse, Tola, Maveron
- Research Centers and Universities: University of Washington, Seattle University, Seattle Pacific University, Allen Institute for Brain Science, Bill & Melinda Gates Foundation, Seattle Children’s Research Institute
