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Senior Manager, Analytical Data Solutions

美国–远程, 美国 - 加利福尼亚州 - 圣莫尼卡营销正式员工

职位描述

We are seeking a Senior Manager, Analytical Data Solutions to join the Global Analytics and Commercial Operations (GACO) organization. This role will report to the Director, CRM and Data Strategy and will own data and analytics solutions to facilitate decision making for Commercial business units including Sales, Marketing, and Market Access teams. In this role, you will be responsible for all technical design and development of analytics solutions enabling data management, accessibility, and visualizations.

This opportunity is based at Kite’s HQ in Santa Monica, CA but a remote arrangement may be considered, and include travel to HQ (2-3X per quarter).

Key Responsibilities:

Data Solutions:

  • Own the design and development of data solutions for Kite Commercial business partners

  • Drive development of data solutions including data marts, metric library, and data dictionary

  • Partner with source system Business Process Owners to gain deep knowledge on source data attributes and their relationships to other data sets.

  • Engineer the business logic layer to combine source data for Commercial metrics

  • Manage data quality, data analysis and decision support for Commercial insights

  • Educate and promote data solutions with Commercial stakeholders to progress the democratization of data/insights

  • Implement and execute data governance to provide clean data to the Commercial organization

  • Manage structured and unstructured data sets

  • Hands on data engineering with data management tools (Snowflake, AWS, etc.)

Reporting Solutions:

  • Translate business insights needs to analytics solutions and initiatives with technology platforms that enable commercial excellence

  • Hands on data manipulation and visualization creation for rapid prototypes of reports/dashboards using analytics tools (Tableau, Qlik, ThoughtSpot, Alteryx, etc.)

  • Partner with cross functional teams to gain understanding of their analytics needs

  • Create actionable ad hoc reports/dashboards that helps the business to make decisions

  • Gather and author clear and concise requirements and design documentation for development and sustainment of automated analytics solutions

  • Leverage internal and vendor partner delivery teams to enable solutions

  • Author documentation that facilitates hand off to automate visualizations with operations team

  • Recommend visualization formats to draw insights from data

Core Responsibilities

  • Lead brainstorming and solution work sessions with stakeholders and partner teams

  • Lead the interaction with end users to gather requirements / metrics and communicate value of data solutions

  • Ensures operational support needs and downstream implications are addressed when developing solutions

  • Drive continuous productivity by identifying opportunities to create accelerators, re-useable components, or processes, and deliver improvements

  • Provide creative solutions to complex issues where fundamental principles do not clearly apply or where data appears to conflict

  • Employ project management and business analysis practices to drive solutions forward within budget, scope, and timelines.

  • Up to 20% travel

Basic Qualifications

  • Doctorate OR

  • Master’s Degree and 6+ years of experience OR

  • Bachelor’s Degree and 8+ years of experience OR

  • High School Diploma/GED and 12+ years of experience

Preferred Qualifications

  • Deep understanding of data management technology platforms/solutions (data warehousing/ETL/systems integration)

  • Deep understanding of data democratization practices

  • Deep understanding of visualization resources

  • Hands on experience with manipulating data and identifying data trends

  • Hands on experience implementing solutions across technologies (SQL, Tableau, Alteryx, AWS, etc.)

  • Thorough understanding of Pharmaceutical/healthcare Data sets, including claims, master data, sales, etc.

  • Experience with business / company harmonization a plus

  • Professional experience in life sciences, consulting, or modern data technology

  • Deep understanding of pharmaceutical industry functions and use of data to provide value to the organization

  • Highly developed analytical, problem-solving, change management and consulting skills

  • Proactive approach to meeting business needs and identifying business opportunities

  • Excellent interpersonal, teamwork, and collaboration skills

  • Ability to work and achieve objectives independently as well as part of a team

  • Experience with project management, change management and agile principles. Ability to manage shifting priorities.

  • Excellent written and verbal communication skills