Manager Data

Johnson Controls is a global leader in smart, healthy, and sustainable buildings. With operations in over 150 countries, we are committed to driving innovation and excellence in building technologies and integrated solutions. Our people are at the heart of our success, and we are passionate about attracting and developing top talent across the globe. We are looking for a Manager Data.  What will you do? ERP Data Manager will be part of the ERP Transformation Business Team reporting to the ERP Business PMO Director. You will apply your data engineering skills to solve Computer Applications, Engineering, Business Management, Mathematics, Operations research real-life, complex problems and deliver long term sustainable impact. You'll build business, optimization, digital and financial models and deploy ERP Business Transformation tools drawing upon various analytics techniques e.g., Excel, VBA, Tableau, SQL, Alteryx, Power BI, M, DAX etc.How will you do it? You will work hand in hand with ERP Global Process Owners and JCI leadership, Workstream members, to ensure seamless delivery of dashboards and reports. Provide guidance and leadership to teams on analytics, build Workstream capabilities. Produce, maintain, and distribute KPIs for all Workstreams. Conduct ad hoc analyses as requested, proactively searching for opportunities to deliver additional insights to members of the ERP Business Transformation Program and Enterprises Process Council. Be the first point of contact for ERP Business Transformation with data questions. Have a complete understanding of the data and its structure, and provide coaching as necessary.Provide data and analytical support for the creation of financial and operational analyses supporting ERP Transformation and ongoing strategic plans and other documents.What are we looking for?  8+ years of experience in developing data-based analytical solutions, or related fieldDegree (Bachelors or Masters) in Statistics, Data Analytics, Computer Applications, Engineering, Business Management, Mathematics, Operations research or a relevant quantitative disciplineStrong data modeling and data visualization skills across a range of platforms including 1) Excel and Excel VBA, 2) PostgreSQL or similar data engineering platforms, and 3) PowerBI (including DAX and M languages with at least 5+ years of experienceDemonstrated experience building predictive machine learning, simulation, and/or statistical models.Excellent analytical and problem-solving skills, including the ability to disaggregate issues, identify root causes and recommend solutionsKnowledge of fundamental business concepts, operations research and statistical techniquesDetail oriented and with ability to work under pressure, mentally resilient to endure the long and tough road of a transformationFlexibility, patience, and an understanding of fluid, demanding, and unstructured environments where priorities evolve constantlyHighly pragmatic, focused on achieving outcomes and impactEntrepreneurial and proactively thinking about potential improvements to how things are donePrevious work experience in building business algorithms, scenario planners, solving business problems using optimization techniques and running project management offices is preferredPassion for/attention to detailAbility to work effectively in a high pace environmentBasic software engineering project management experience in Agile, Lean, or Scrum development is a plus (in particular defining requirements, rapidly iterating and deploying features)Desires to accelerate their career path through a challenging and rewarding experienceWhat do we offer?  Comprehensive benefits package. Opportunities for professional growth and development. Supportive and inclusive work environment. Commitment to work-life balance and employee well-being. Engagement in meaningful projects that make a difference.  Johnson Controls does not request pregnancy or HIV testing as a condition for hiring, continued employment, or promotion, in accordance with its commitment to labor equality and non-discrimination.