Top Tech Jobs & Startup Jobs

Lead public policy engagement activities for assigned pharmaceutical products and therapeutic areas in Japan. Develop public affairs strategies, gather policy insights, engage policymakers and external stakeholders, and influence health policy agendas. Collaborate cross-functionally with medical, market access, government affairs, and global public affairs teams. Build stakeholder relationships, create executive materials, ensure compliance with regulations and internal procedures, and support broader public affairs initiatives.

Drive territory performance by executing business plans, building clinician relationships, leading multi-channel engagement, delivering prescriptions and sales growth, ensuring accurate reporting and compliance, collaborating with cross-functional teams, and using market insights to optimize promotional effectiveness.

Drive territory sales by executing business plans, building customer relationships, leading multi-channel engagement, providing market insights, ensuring accurate reporting, collaborating cross-functionally, and upholding compliance and ethical standards to meet prescription and growth targets.

Territory sales role responsible for executing business plans, building and strengthening customer relationships, driving prescriptions and sales growth through multi-channel engagement, using market insights and cross-functional collaboration while ensuring accurate reporting and compliance with ethical standards.

Drive territory sales and growth by executing business plans, building customer relationships, engaging multi-channel, providing clinical value-based selling, monitoring market trends, ensuring accurate reporting, collaborating cross-functionally, and maintaining compliance to maximize territory performance.

Leads the strategy, roadmap, and product organization for NovaOS, an enterprise AI operating system. Oversees a portfolio spanning data, semantic, agentic, and experience layers; partners with business, engineering, and technology leaders to prioritize investments and deliver measurable outcomes. Establishes product governance, lifecycle practices, success metrics, and feedback mechanisms while building and mentoring a high-performing product management team.

Leads enterprise core data management by defining standards for data, metadata, modeling, and quality; driving governance adoption; and delivering trusted, AI-ready datasets. Oversees data operations, service levels, documentation, metrics, risk management, and continuous improvement. Partners with engineering, business teams, vendors, and senior stakeholders while leading and developing Associate Directors and distributed teams.

Leads strategic external data partnerships supporting customer engagement and integrated marketing. Oversees vendor performance, spend, data quality, security, compliance, governance, and integration into enterprise platforms. Establishes SLAs, manages data acquisition and stewardship, resolves quality issues, reports partnership performance to leadership, and coordinates training. Evaluates emerging data offerings, AI-enabled capabilities, and partnership models to improve marketing effectiveness, customer engagement, decision-making, and enterprise value.

Leads the engineering strategy, architecture, development, operations, and continuous improvement of an enterprise agentic AI foundation. Establishes scalable engineering standards, operating models, governance, and reusable platform services that enable AI products and intelligent workflows. Partners with product, data, infrastructure, security, and business teams to modernize existing systems, guide cross-functional delivery, monitor operations, and communicate priorities, risks, and investment needs to senior leaders. Manages and develops product or engineering leaders while driving measurable business value.

Coordinates technical onboarding and ongoing operations for data partners and vendors. Ensures data delivery, ingestion, metadata, catalogs, documentation, and inventories remain accurate and current. Tracks data quality, SLAs, delivery performance, operational metrics, and issue resolution across business, technical, engineering, analytics, and vendor teams. Maintains centralized issue trackers, escalates risks, translates technical problems into business impacts, and drives cross-functional follow-through in a matrixed environment.