Your key responsibilities

You'll spend most of your time managing client engagement teams, working with a wide variety of clients to deliver professional services, and managing business development activities on strategic and global priority accounts. 

Skills and attributes for success

• Leading large-scale client engagements.  Fostering relationships with client personnel at appropriate levels. Consistently delivering quality client services. Driving high-quality work products within expected timeframes and on budget.
• Monitoring progress, managing risk and ensuring key stakeholders are kept informed about progress and expected outcomes.
• Managing expectations of client service delivery.
• Staying abreast of current business and industry trends relevant to the client's business
• Effectively managing and motivating client engagement teams with diverse skills and backgrounds. Providing constructive on- the- job feedback/coaching to team members.
• Deep knowledge of Life Sciences Research and Early Discovery (R&ED) data & analytics in Target Screening, Lead Optimization, Vaccines, Lab – Dry & Wet, Instrumentation, LIMS, CMC and other relevant areas.
• Strong Life Sciences R&ED Data Information Architecture Development – Functional and Technical experience.
• Fostering an innovative and inclusive team- oriented work environment. Playing an active role in counselling and mentoring junior consultants within the organization
• Cultivating and managing business development opportunities. Developing and maintaining long- term client relationships and networks.
• Assisting in the strategy and implementation of Master Data Management, Data Governance, Enterprise Data Management, Enterprise Content Management and Knowledge Management using modern techniques and approaches.
• Developing thought leadership for your area of expertise to help strengthen EY's brand in the data management space. 

To qualify for the role you must have

• A bachelor's degree and approximately eight years of related work experience; or a graduate degree and approximately seven years of related work experience
• A minimum of six years' experience in providing complex consultative services in the following focus areas: information strategy, big data architecture, information/data governance, master data management, data quality, data integration particularly in a life science or healthcare setting.
• A strong working knowledge and point of view on the evolving concepts and practices for modernizing information management
• A working knowledge of the modernized information management tool landscape (e.g. Talend, Collibra, Atlas, Reltio, Trifacta, Tamr, StreamSets, etc.)
• Proficiency with advising clients on the full data supply chain from data wrangling to data consumption via analytics.
• A proven track record of driving revenue within existing clients and developing new prospects at the "C" level of Fortune 500 companies
• Proven track record of understanding business challenges and translating them into value add solutions - strong analytical and problem- solving skills - actively participate in brainstorming, identifying core issues and effectively finding and using data to manage complex analysis
• Engagement leadership experience including: managing junior level consulting staff, providing regular status updates, monitoring project economics, as well as managing client relationships
• Strong analytical and problem- solving skills as well as excellent oral and written communication skills
• A willingness to travel to meet client needs; travel is estimated at 80%. A valid driver's license in the US and a valid passport required; willingness and ability to travel internationally 

Ideally, you'll also have

• Degree emphasis in Finance, Accounting, Economics, Business, Computer Science, IT or Engineering preferred; MBA desired
• Master's or PhD in Biostatistics, Statistics, Mathematics, or a related field.
• Experience with big data platforms and cloud (Snowflake, AWS, Azure, etc)
• Experience with data and systems architecture (APIs, messaging, etc.)
• Experience with master data management and data governance
• Experience with data visualization tools such as Power BI and Tableau.