Positions are open to Mexican Citizens and official residents of Mexico.Location: Guadalajara (hybrid)Strong English communication skills required.We are a diverse, inclusive and innovative group who identify, build and deliver excellent shared services (which everyone can leverage) to enable AstraZeneca to grow and change at speed. We are passionate about simple process - making it easier to get vital repeatable services done - for our patients, for our customers, for our teams.We focus on providing exceptional value that contributes to our company's success and future by freeing up the business (our customers) to push the boundaries of science to deliver life-changing medicines for patients. With the accomplishments, commitment and passion that you bring, I'm excited about what we will achieve together towards realizing AstraZeneca's bold ambition.Join the Process Mining COE within Global Business Services (GBS) at AstraZeneca, a team that has established itself as a pivotal advanced analytics capability. We unlock processing capacity and value through automated process discovery, analytics, and automated decision-support workflows. We are looking for a Process Mining Senior Manager to join us as we scale the capability and deliver process mining (Celonis) solutions across AstraZeneca.Accountabilities:In this role, you will work closely with business collaborators and manage a team of Process Mining Consultants to deliver end-to-end Process Mining projects. You will translate business requirements into data/process models using process mining techniques, identify required data sources, support extraction and transformation (ETL), develop visualizations to deliver process insights to partners, and build automated workflows to facilitate pro-active process interventions.Essential Skills/Experience:- Degree or equivalent experience in Computer Science, Business Informatics or a comparable degree- At least 3 years' experience working on Process Mining or Process Data & Analytics projects- At least 1 year experience in project management and/or managing analytical teams- Fluency with relational databases using SQL queries on large datasets- Experience in producing visualisations to communicate process data effectively in a data visualisation tools (Celonis/Tableau/Power BI or similar)- Analytical skills to be able to discover, analyse and draw insight from complex data sets- Knowledge of at least 1 functional area processes (Finance, HR, R&D, Operations etc.) and related Source System datasets nice to have- Superb communication skills to work with collaborators daily- Energetic, organised and self-motivated- Hands-on experience in a Process Mining Tool (Celonis, UiPath, QPR, Minit, Signavio etc.) will be a strong advantage- Python programming skills appreciated but not required- Fluent in business EnglishWhen we put unexpected teams in the same room, we unleash bold thinking with the power to inspire life-changing medicines. In-person working gives us the platform we need to connect, work at pace and challenge perceptions. That's why we work, on average, a minimum of three days per week from the office. But that doesn't mean we're not flexible. We balance the expectation of being in the office while respecting individual flexibility. Join us in our unique and ambitious world.Why AstraZeneca?AstraZeneca is a global, science-led, patient-focused biopharmaceutical company. We focus on discovering, developing and commercialising prescription medicines for some of the world's most serious diseases. But we are more than one of the world's leading pharmaceutical companies. At AstraZeneca, we're dedicated to being a Great Place to Work. Where you are empowered to push the boundaries of science and unleash your entrepreneurial spirit.Join us and make a greater impact with the power of technology. Live and breathe a digital approach in an organisation striving to be at the forefront of the convergence of science, data and technology. We are transforming how we discover and develop new medicines to create the greatest and swiftest impact on disease.
