Collaborate in the creation of technology-enabled business models of the future with our clients. Develop cohesive, compelling strategic visions of how technology transforms the business models of our clients and coach leaders in positioning the vision while engaging stakeholders at all levels.
Compensation
The base salary for this job is $180,255.00 per year.
Responsibilities
Collaborate in the creation of technology-enabled business models of the future with our clients.
Develop cohesive, compelling strategic visions of how technology transforms the business models of our clients.
Coach leaders in positioning the vision while engaging stakeholders at all levels to support the proposed direction.
Apply expertise in leading edge technologies and concepts like DevOps, Cloud, Internet of Things, Robotic Process Automation, Block Chain, etc.
Lead client interviews, conduct research, financial analysis, and develop executive level presentations for the c-level executive suite.
Lead competitive intelligence work with primary responsibility for power generation and gas turbine applications, supporting the broader Power & Energy portfolio.
Compensation
Summary Pay Range: $128,470.00 - $192,710.00
Responsibilities
Own targeted competitive intelligence assignments from initial problem definition through research, analysis, communication, and follow-up.
Develop and maintain competitor intelligence covering relevant competitors' businesses, products, technologies, capabilities, performance, and activities.
Create and maintain recurring intelligence products including reports, dashboards, competitor tracking, and other monitoring deliverables.
Conduct defensible research using appropriate internal and external sources.
Develop decision-relevant analysis by integrating competitor, industry, commercial, financial, product, technology, and customer evidence.
Requirements
Bachelor's degree from an accredited college or university, preferably in business, finance, accounting, economics, engineering, data analytics, or a related field.
Responsible for executing market modelling and delivering customized analyses to support strategic decision-making across portfolio, pricing, and marketing for Caucasus markets.
Responsibilities
Execute market modelling within planning cycles and business reviews
Maintain regular market and business reporting
Deliver customized analyses and actionable insights
Support and coordinate ongoing and ad-hoc consumer research
Support the adoption of the multi-category framework
Requirements
University degree, preferably in Marketing, Economics, Statistics, or a related field
Defines and implements marketing strategies for existing and new products, leading omnichannel campaigns and coordinating with agencies and external stakeholders to strengthen CSL Seqirus market position.
Responsibilities
Defines and implements marketing strategies for existing and new products
Collaborates with management and cross-functional teams to identify and implement marketing strategies and campaigns
Supports the development of clear brand messages for all marketing and communication materials
Develops and implements marketing materials and tools based on market scenario, local positioning and competitive analysis
Leads assessments for new products and launch campaigns and liaises with external stakeholders
Requirements
University degree or higher
Bachelor's degree in Business, Marketing, Life Sciences or healthcare discipline
Lead research competitive intelligence for Zealand Pharma’s metabolic health portfolio, shaping strategy through data‑driven insights and quantitative analysis.
Responsibilities
Track and synthesize competitive intelligence across metabolic health and adjacencies
Rapidly internalize breaking external data and independently develop analyses, narratives, and implications
Apply quantitative methods to capture, analyze, and visualize complex datasets
Develop high‑impact communications (briefings, presentations, written summaries)
Partner across‑functionally with Research, Medical, Development, IR, and Commercial teams
Requirements
PhD (or equivalent advanced degree) in a relevant life sciences or quantitative discipline