Top Remote Senior Level Jobs in Buffalo, NY

Leads investor relations and corporate communications strategy for a clinical-stage biotech company. Translates complex scientific and clinical developments into compelling investor, analyst, media, and stakeholder messaging. Responsibilities include managing filings, press releases, conferences, roadshows, corporate content, executive communications, media relations, crisis response, spokesperson preparation, brand campaigns, and regulatory accuracy while collaborating with Finance, Legal, executives, and product teams.

Leads strategic planning, budgeting, forecasting, and financial analysis for the risk exchange platform. Partners with finance, accounting, actuarial, and distribution teams; analyzes operational and insurance results; prepares management reporting; supports monthly close; and presents insights to senior leadership. Drives Pigment planning-platform adoption and improves FP&A processes through AI, automation, documentation, and digital tools.

The Senior Clinical Trials IT Business Analyst bridges Clinical Development and IT, optimizing clinical trial technologies and managing system implementations, validations, and stakeholder engagement.

Lead paid acquisition strategy across complex, multichannel client programs, owning budgets, targeting, creative testing, forecasting, and optimization. Audit measurement, model payback, LTV, CAC, and ROI, and translate data into client decisions. Partner with CRO, analytics, engineering, lifecycle, and creative teams to deliver integrated programs. Influence executive stakeholders, identify account expansion opportunities, support business development, coach junior strategists, and build scalable AI-assisted workflows and brand-specific AI agents.

Leads employee benefits and total rewards strategy, including self-funded health plans, compensation programs, vendor relationships, HRIS administration, compliance, claims analysis, cost containment, open enrollment, and executive reporting. Partners with leadership, Finance, and HR to optimize benefits, compensation, healthcare costs, and employee value.

Own multiple client product engagements from discovery through delivery, including AI agent development, greenfield product builds, legacy platform modernization, and AI-native enablement. Translate ambiguous needs into PRDs, roadmaps, success criteria, and sequenced work; partner with engineers on agent architecture, evaluations, and guardrails; manage stakeholders, scope, budgets, timelines, and ROI. Lead client presentations, workshops, steering committees, and internal delivery playbooks.

Leads the company’s adoption of AI, analytics, automation, and business intelligence. Builds AI-powered workflows, Excel solutions, natural-language data interfaces, dashboards, forecasts, predictive analytics, and automated reporting using Snowflake, SQL, Tableau, and related tools. Partners across business functions to identify opportunities, improve data quality, automate repetitive processes, and deliver scalable decision-support solutions. Establishes responsible AI practices and advances an AI-first analytics culture.

Build and operate core HR processes, including onboarding, offboarding, performance reviews, merit and promotion cycles, career pathing, employee recognition, learning and development, benefits support, and immigration assistance. Own the implementation and configuration of Rippling, using AI tools to improve efficiency while maintaining compliant documentation, data handling, and decision-making practices. Partner closely with employees and managers in a growth-stage company.

Supports global supply chain and purchasing through spend analytics, dashboard development, savings validation, budgeting, standard costing, supplier master data governance, and KPI reporting. The role analyzes purchasing and market data, identifies cost-saving opportunities, standardizes reporting, leads master data cleanup, and provides strategic insights for working capital and supplier risk initiatives. It collaborates with Finance, FP&A, IT, Engineering, Operations, Commercial, plant controllers, and regional purchasing teams, presenting findings to senior management.

Lead data engineering and machine learning initiatives by designing, architecting, developing, and supporting GCP data pipelines. Create information architecture documentation, estimate and plan technical work, collaborate with project teams and business analysts, and translate requirements into technical designs. Develop Python-based ELT pipelines, optimize BigQuery SQL, support CI/CD, and provide technical leadership to projects and teams.