Thermo Fisher Scientific is seeking an experienced professional to lead data science program management of the ImmunoDiagnostics Division. The Data Science Manager will work closely with the Director Digital Marketing, the IDD Leadership Team, the VPs of the Commercial Operations as well as experts in IT and R&D to accelerate the development and deployment of targeted data science plays to deliver new revenue growth or customer experience opportunities.
The ideal candidate will possess a unique blend of business ownership, marketing and commercial acumen, leadership, agility, and communication skills and will have a passion for data, metrics and reporting. This is a hands-on role and candidates must demonstrate the ability to operate and excel at the strategic as well as tactical levels.
Defines the data science program and supporting processes
Plans data science plays which transform the way IDD engages with customers, drives demand and generates revenue and ROI
Engage with IDD s Commercial Regions to provide hands-on guidance to optimize data science results with a focus on funnel performance, demand generation, margin improvement and customer experience
Identifies expansion opportunities to include new data sources, channels and customer experiences
Defines the overall program governance (controls), managing risks and issues and taking corrective actions
Coordinating the projects and their interdependencies, management and utilization of resources across projects
Tracks data science program initiatives against schedule, forecast and objectives, reporting status to commercial, marketing and executive teams
Manages stakeholders communication
Develops evaluation methods to assess program strengths and identify areas for improvement
Performs performance audits and health checks on projects and programs.
Performs other duties as assigned
BA or BS degree, Master s degree preferred
8+ plus years sales and marketing industry experience, with a minimum of 5 years in project and/or program management
Advanced data analytics and digital marketing experience
Results-driven with very strong ability to analyze quantitative data to determine program effectiveness, ROI, forecasting
Ability to think strategically, but also have exceptional attention to detail in execution. Ability and willingness to be a hands-on leader
Extensive experience in data analytics, predictive analytics or artificial intelligence
Demonstrated results in improving sales pipeline/funnel close and conversion ratios.
Excellence in organization and planning
Strong team player with ability to develop effective working relationships across organization: divisional, regional and global marketing teams, sales operations and IT
Ability to analyze situations, apply independent judgment, discretion and initiative to address problems and develop practical, thorough and creative solutions.
Ability to gather and analyze data and to understand issues from a broad, strategic perspective.
Exceptional interpersonal and networking skills, including listening and interpretive skills; strong consultative and persuasive skills; and expertise in working effectively and creatively with a wide variety of individuals and groups.
High standards of ethical conduct and confidentiality in dealing with various internal and external constituencies.
A track record of delivering complex programs.
Experience of working within, influencing within, and networking within a matrix environment.
If you are an individual with a disability who requires reasonable accommodation to complete any part of our application process, click here for further assistance.
Thermo Fisher Scientific is an EEO/Affirmative Action Employer and does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, disability or any other legally protected status.
Associated topics: data administrator, data analyst, data analytic, data center, data manager, data warehousing, erp, sql, sybase, teradata
* The salary listed in the header is an estimate based on salary data for similar jobs in the same area. Salary or compensation data found in the job description is accurate.