Senior Data Manager

Key Skills

Apache Hadoop, C Programming, C++, Data science techniques, Java Programming, Machine learning techniques, MapReduce, Python Programming, PyTorch, R Programming, Scala Programming, SQL, TensorFlow

Job Description

Responsible for supporting the delivery of business analysis and consulting processes and procedures for the defined specialism using sound technical capabilities, building and maintaining effective working relationships, ensuring relevant standards are defined and maintained, and supporting delivery of process and system improvements. Specialisms: Business Analysis; Data Management and Data Science; Digital Innovation.

Responsibilities

• You have deep understanding in about 50% data domains within your business entity; SME in at least one data domain. You work with business partners to coordinate data remediation plans to ensure data sets meet business requirements. You create scripts and automation to wrangle data sets for use. You use knowledge of data models and business processes in at least one data domain.
• you find opportunities for code re-use and product-ionize it into data management software systems; you advocate for coding standard methodologies across your immediate team (e.g. unit tests, checks code into git, code review); you have awareness of new external trends with respect to building scalable, re-usable data management software systems
• you collaborate with Data Engineers to build new tools and approaches to automate data ingestion, data integration, manipulation and quality control, where needed; in addition to being hands on yourself, you ensure your team re-uses or builds on top of existing work; you advocate for tech debt removal; you build and maintain scalable and re-usable systems that are used by others; in more than 50% of domains, you identify high value data sets as opportunities for automation
• You define, author and own internal standards and workflows (as needed and in alignment with the hub); you drive to agreement and adoption in a subset of their business entity.
• You provide leading insight of industry and technology trends and standard methodologies; you advocate for data management;
• You have a deep understanding of a wide range of several commonly available Data Manager approaches and tools. You mentor others in selecting the right approach to solve the problem.
• you provide content and input for data / information models and integration as a result of deep understanding of multiple data domains; you validate the data architecture solution from a customer/consumption/usage viewpoint
• You are inclusive & collect diverse set of opinions and ideas, you seek out the silent voice; you use own skills and experience to upskill others. You understand how your work with data impacts bp with respect to safety, financials, or other high value impacts. You start to identify continuous improvement opportunities to create safer operations, reduce cost, or other opportunities with data.
• you independently identify problems to be solved in your team as a result of in-depth technical and business understanding; you can concretize vague, complex and broad problems and break them down into useful sub-problems and tasks;
• You proactively take initiative to partners to identify project needs and suggest solutions.
• You recognize and build, communicate, and handle the case for change – the costs and the benefits, building energy around the change. You use change as an opportunity to advance business objectives.
• You use deep understanding of business operations and commercial factors to support decision-making in immediate scope.

Qualifications

• Experience leading, growing and developing a data teams
• Hands-on experience designing, planning, product-ionizing, maintaining and documenting data infrastructure and data products in complex environments, experience in technologies across all data lifecycle stages
• Experience designing and implementing systems on AWS or Azure a benefit
• Computer Science or other technical (e.g. Physics, Engineering) degree.
• We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, sex, gender, gender expression, sexual orientation, age, marital status, veteran status, or disability status. We will ensure that individuals with disabilities are provided reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request accommodation.