Top Tech Jobs & Startup Jobs

Leads finance integration across accounting, reporting, controllership, banking, systems, controls, and shared services. Owns US GAAP financial reporting, reconciliations, audits, purchase accounting, governance, and compliance. Coordinates global finance transitions, ERP readiness, automation, and process standardization while partnering with leadership, FP&A, SEC, Tax, and Legal teams. Provides executive updates, resolves issues, and mentors global team members.

Analyze marketing and customer data to measure campaign impact, uncover customer insights, and improve marketing ROI. Build Tableau dashboards, write and optimize SQL queries, conduct segmentation and lifecycle analysis, validate data quality, and provide actionable recommendations. Partner with marketing, product, and analytics stakeholders to translate business needs into analytical solutions and support strategy across channels, including spend allocation, targeting, attribution, and campaign effectiveness.

Designs, develops, deploys, and maintains AI, machine learning, NLP, deep learning, and generative AI solutions for disability insurance and claims use cases. Responsibilities span problem framing, data preparation, feature engineering, modeling, validation, MLOps, monitoring, retraining, document intelligence, RAG, model governance, explainability, bias detection, and stakeholder communication.

Leads BI and analytics strategy, reporting delivery, dashboard development, data governance, and GenAI-enabled reporting initiatives. Manages analysts and BI developers, establishes trusted metrics, oversees executive and operational reporting, and partners with senior stakeholders and data engineering. Evaluates AI and LLM use cases, sets responsible AI guardrails, and ensures data quality, accuracy, documentation, and business impact.

Lead end-to-end data science and machine learning solutions, translating business problems into production-ready models, GenAI applications, and reusable technical patterns. Establish evaluation, governance, monitoring, documentation, and quality standards while mentoring data scientists and ML engineers. Collaborate with senior stakeholders, data engineering, platform teams, and distributed onshore/offshore groups to deliver maintainable solutions across statistical modeling, forecasting, NLP, optimization, and responsible AI.

Lead end-to-end strategic sourcing for technology and services categories, including market research, supplier qualification, RFI/RFP execution, negotiations, contract finalization, and stakeholder coordination. Manage sourcing project plans, supplier evaluations, contract documentation, and reporting while using SAP Ariba for sourcing and contract workspaces.

Leads client-facing management consulting and transformation programs spanning revenue operations, marketing, sales, customer growth, data, analytics, and AI. Advises senior executives, develops operating models and transformation roadmaps, leads solutioning and proposals, oversees delivery governance, and translates business needs into implementable data and technology solutions. Builds thought leadership, reusable consulting assets, and high-performing teams while supporting strategic growth and client relationships.

Own full-cycle recruiting for specialized Data Engineering, Analytics, AI/ML, Cloud, and Digital technology roles. Develop proactive sourcing strategies using technical communities and alternate channels, build passive candidate pipelines, advise hiring managers on talent markets, manage candidate experience, maintain ATS reporting, and improve hiring velocity, quality, diversity, and assessment processes.

Leads marketing data engineering and platform initiatives from requirements through production. Designs scalable, secure Azure and Databricks solutions; oversees data modeling, pipelines, integrations, reporting, governance, and Customer 360/MDM capabilities. Manages delivery risks, dependencies, documentation, Agile ceremonies, technical reviews, and stakeholder communication while mentoring teams of data engineers, architects, and technical specialists.

Lead the architecture and technical direction of Generative AI solutions for Life and Annuities insurance operations. Design secure, scalable AI workflows using RAG, agents, vector search, and human oversight. Integrate AI with policy administration, underwriting, TPA, CRM, document, and partner platforms. Establish governance, security, privacy, monitoring, compliance, and nonfunctional standards while guiding cross-functional engineering teams and influencing enterprise technology strategy.