Data Leader Job Description
Data Leader Duties & Responsibilities
To write an effective data leader job description, begin by listing detailed duties, responsibilities and expectations. We have included data leader job description templates that you can modify and use.
Sample responsibilities for this position include:
Data Leader Qualifications
Qualifications for a job description may include education, certification, and experience.
Licensing or Certifications for Data Leader
List any licenses or certifications required by the position: CISSP, ITIL, PMP, CISM, CEH, IBM, SAS, GIAC, SANS, CISA
Education for Data Leader
Typically a job would require a certain level of education.
Employers hiring for the data leader job most commonly would prefer for their future employee to have a relevant degree such as Bachelor's and Master's Degree in Computer Science, Engineering, Business, Statistics, Finance, Technical, Science, Education, Mathematics, Management
Skills for Data Leader
Desired skills for data leader include:
Desired experience for data leader includes:
Data Leader Examples
Data Leader Job Description
- Reconcile short-term solutions with long-term objectives and infrastructure strengths
- Have the ability to assess the impact of new requirements and all upstream and downstream applications, systems and processes
- Primary ownership and governance of AP vendor data quality
- Identify improvement opportunities and lead improvement, standardization and simplification projects
- Manage projects to improve AP supplier data quality and metrics, utilizing lean six sigma methodologies and quality rigor
- Collaborate with P&L, tax, and supplier management teams other business teams to standardize and improve supplier and supplier banking management processes impacting accounts payable
- Develop expertise in supplier data requirements relevant to disbursement tools and systems, identify and communicate enhancement requirements
- Establish or validate standard supplier/supplier banking/supplier tax AP setup guidelines
- Provide guidance to AP integrations team on supplier data requirements
- Develop and improve documentation and training materials to guide supplier master file, sourcing, and other business teams the accounts payable teams
- Partnering with data science and analytics teams
- Proficient in base SAS including macros and PROC SQL
- Desirable experience with clinical data (lab, biometric, claims)
- Strong ability to provide coaching to others on technical and analytical functions
- Code writing capability in any programming language (Python, R, Java)
- Experience in Analytics area
Data Leader Job Description
- Manage and maintain Global Ops AP Shared Services banking database
- Define/validate and monitor metrics and reports such as payment hold resolution, supplier maintenance queue, unpaid invoice review
- Support activities related to projects and contribute to new process design where applicable
- Interact with other AP shared service team members located around the world to understand and share best practices
- Consider new standards and/or other solutions to meet changing needs
- Other operational and project duties as required to support the overall AP shared service operation
- Work with the stakeholders to scope, design, implement, test, and deploy new features
- Participate in evaluating new technologies, building proof-of-concept solutions, coming up with reference architecture, and providing reference implementations
- Establish sound design principles and practices & drive the adoption of patterns based solutions
- Guide the development team in designing and developing highly optimized data ingestion workflows
- Experience on Cognitive Projects
- Validate technical deliverables
- Bachelor’s degree from an accredited university or college (or a high school diploma/ GED with at least 6 years of experience in finance, accounting, or buy to pay functions)
- Minimum 2 years of relevant work experience in Finance, Accounting or other specific Buy to Pay functions
- Ability to travel to up to 20% of the time
- Design and develop interface controls and data validation routines for the ETL / ELT jobs to ensure data quality and consistency
Data Leader Job Description
- Adhere to SDLC management best practices and ensure that key artifacts are captured
- Proactively identify opportunities to improve the current processes
- Provide knowledge transfer to the support teams to move new ingestion code under their support model and processes
- Assist the operations team in installing, upgrading, patching, and testing the Data Ingestion tools
- Design and implement semantic data access layers for data discovery, work with Qlik / Sisense / Tableau business champions to design and structure these datasets in a very intuitive, user friendly fashion
- Partner with various leaders and program managers across business and IT to design and institute practices that will drive the appropriate levels of rigor and quality in enterprise information architecture
- Ability to think through multiple alternatives and select the most relevant solution that solves tactical and strategic business needs
- Work across departments to ensure consistent enterprise approach to data science
- Engage in ecosystem design activities with the software team to ensure proper data management
- Ensure consistent use of visual tools to communicate results across the team
- Proficiency in SQL, scripting languages (e.g., Java, Python, Scala, Shell scripting)
- Minimum 2 years experience in SQL, scripting languages (e.g., Java, Python, Scala, Shell scripting)
- 3 years Data Management experience or 5 years experience in drug development in areas intersecting with clinical data management (e.g., clinical operations, statistics, information technology, health outcomes)
- Master Degree in Mathematics, Decision Sciences or equivalent quantitative field
- Sound awareness of relevant regulations, including ICH-GCP, 21CRF11
- Bachelor’s degree and / or other qualifications in a science or industry related discipline
Data Leader Job Description
- Understand data relationships regarding leading indicators of business success
- Be active in external industry and analytical professional associations
- Leading a team of 8+ people (training, coaching, motivating and developing team members)
- Ensure year-end Cost & ICSP resetting processes including stock revaluation are managed in agreement with relevant stakeholders
- Ensure mid-year intercompany pricing including price changes are managed in a timely and accurate manner
- Ensure customer/vendor master data process works seamlessly
- Ensure stock transfer process is managed properly
- Ensure that all the existing internal audit and global audit and risk controls are properly operated by Intercompany Data Team in a timely manner
- Identify the possible risks in the processes
- Manage support of projects
- Expert knowledge of design in Hadoop stack
- At least one project delivered at Production Scale on Hadoop stack or equivalent
- Cloud integration
- Ability to switch between details and holistic view
- Respective leader, can motivate and persuade his/her team and stakeholders
- Has tangible results in area of expertise with a strong bias for action
Data Leader Job Description
- Continually look for process improvements to drive service efficiency and maximise customer satisfaction
- Ensuring the support and the continuity of the Infrastructure Landscape in close cooperation with other departments in the Infrastructure domain, in line with standards, guidelines and procedures, in order to fulfill agreed service levels
- Ensuring the delivery of quality assurance and regulatory-compliance deliverables on time, on budget and ‘on quality’
- Ensuring that all delivered services comply with the boundaries set by enterprise architecture and by IT Governance
- Monitoring the performance of the Data Center Americas team via KPI’s and metrics and ensure periodical performance reporting
- Coordinating with a peer manager in the Netherlands, who has a similar role
- Ensuring that complex technical issues are identified and resolved by managing individuals, teams and vendors
- Expertise in SDTM process
- Ensure that all employees in the team are provided the needed support and possess the necessary competencies
- Expert on data create and maintain processes
- Experience in talking to and moving between customers and engineers
- Ability to walk in the customers’ shoes, understanding how they work and the problems they face
- Loves solving interesting problems and is able to wear multiple hats
- Can “get hands dirty” working with all functional areas while polished enough to clearly communicate program tracking updates to executives
- Solves problems with a collaborative, tactful approach with good debate when needed
- Acutely aware of what they know and why they know it, what they don’t know