This role will be instrumental in shaping a future-ready, data-driven organization by leading the technical enablement of scalable analytics and data solutions. This role will be part of high-performing, cross-functional team, working closely with Finance Business Analytics team, stakeholders, and senior leadership to establish best-in-class practices across data solutions, BI, and driving digital adoption in Finance.
XOPS Delivery
- Lead Devops of analytical products in Finance domain through 3P managed service model optimizing costs and driving efficiency
- Establish and enforce best practices for data governance, security, and lifecycle management
- Own end-to-end delivery of projects, ensuring timelines, quality standards, and stakeholder expectations are met
- Track and report delivery metrics, proactively identifying risks and mitigation strategies.
- Manage delivery-related financials, including effort estimation, resource planning, and budget adherence.
- Collaborate with business stakeholders to gather requirements, translate them into technical specifications, and ensure alignment with business goals.
- Facilitate communication between technical and non-technical teams, ensuring transparency and shared understanding.
- Drive continuous improvement initiatives, including automation, documentation, and process optimization.
- Champion Agile or hybrid delivery methodologies, adapting them to suit project and team needs.
- Identify opportunities to embed and leverage AI capabilities into Data solutions to improve efficiency and insight generation.
- Stay current with emerging AI trends and evaluate their applicability to ongoing projects, fostering a culture of in ation and continuous improvement.
Solution Architecture & Design
- Work closely with engineering, data science, and XOps delivery teams to create architecture blueprints aligned with enterprise and CoE standards.
- Guide POCs and MVPs to vali ideas quickly and drive scale-up of successful initiatives.
- Guiding delivery and OPS teams to achieve architecture/code optimization and cost savings through Agentic AI
Data Architecture
- Ensure data architecture supports interoperability across internal systems and external partners.
Experience and qualifications required:
Technical Skills:
- Hands-on with Azure ecosystem like Data Factory, Synapse, Databricks, and Data Lake.
- Azure experience (ADF, ADB), experience and deep understanding of Agile/DevOps/ML development lifecycle from conception to delivery in Data & Analytics area
- Good understanding of data modelling and building clean, scalable pipelines.
- Experience with ETL tools and integrating data from multiple sources.
- Strong knowledge of data management, data warehousing, and big data technologies.
- Proficiency in data analytics tools and programming languages such as Python, R & SQL
- Strong knowledge of data visualization tools such as Power BI, Figma, Paginated Reports or similar.
- Familiar with data security, governance, and compliance standards.
- Experience in performance tuning and cost optimization
- Proven ability to establish, lead and develop high-performing teams.
- Familiar with Agile methods, project planning, and managing timelines.
- Experience in developing Web applications will be an added advantage
Must have competencies
- Can work well with stakeholders and business teams.
- Strong in communication and solving real-world problems.
- Passion for high performance
- High level of integrity and professionalism.
- Strategic thinker with a proactive approach.
- Ability to work collaboratively with cross-functional teams.
- Excellent organizational and time management skills.
- Excellent communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders.
- Strong problem-solving and analytical skills.
- Strong track record of working with senior business management to drive definition, alignment, data operating foundations to address complex business questions
- Strong supplier management skills / ability to work with multiple providers
Desired
- Proven capability in managing teams
- Experience working with Agile Delivery Principles
- Data Governance understanding preferred
- Data Privacy and Quality understanding preferred
- Proven record of experience delivering Data / Analytics Solutions in procurement space.
Standards of Leadership Required in This Role
- Personal Mastery
- Agility
- Passion for High Performance
Key Skills - Essential
- Business intimacy with Finance & Commex
- Analytical thinking and problem solving
- Data visuali ion
- Data Modelling
- Agile Delivery
- Azure Experience
- Business Process
- Business partnering
- Program & Project Management
- Organizational awareness and knowledge of business organization structure
- Vendor Management
Key Behaviours
- Care Deeply
- Stay Three Steps Ahead
- Focus on What Counts
- Deliver with Excellence
Key interfaces
Internal
- Business Domain Product teams
- BG CDIO teams
- Data Foundation Center of Excellence teams / Other XOPs teams
External
