Associate Director, Ddit Us&i Data Architect

**Associate Director, DDIT US&I Data Architect**:
Job ID REQ-10032485

Jan 21, 2025

India

**Summary**:
This role at Novartis involves leading the design and implementation of data architecture solutions within the Data Digital and IT (DDIT) function. Here are some key aspects of the job:
**Role Purpose**:

- Strategic Leadership: Develop and implement data architecture solutions that align with business strategies and drive innovation.
- Technical Expertise: Utilize advanced data architecture frameworks and tools to deliver high-quality solutions.
- Oversee architectural activities for a US&I Analytics Capabilities domain (GenAI, AIMLOps, NLP, Visualization) and manage the development of solution architectures for projects or programs within the US&I DAI business area.
- Coordinate with other teams to ensure the right business and technical capabilities are incorporated into the solution with an appropriate scaling model for future capacity increases.
- Ensure business processes, requirements & outcomes are defined to drive the analytics platform architecture definition.
- Define standards and direction of architecture in the specific business or technical domain.
- Define and develop the logical design and information management strategies necessary to store, move, and manage data in a new target state.
- Utilize architecture patterns to suggest the most adequate utilization of Data and analytics technical platforms to support the holistic DAI solution architecture design.
- Define, create, and evolve the Architecture Governance Framework (e.g., architecture methods, practices, and standards) for IT.
- Incubate and adopt emerging technologies and launch products/services faster with rapid prototyping & iterative methods to prove and establish value. For identified technologies, launch to enterprise scale, ensuring value is derived.
- Focus and align innovation efforts with the Business strategy, IT strategy, and legal/regulatory requirements.
- Establish and update strategies, implementation plans, and value cases to implement emerging technologies.
- Drive innovation using appropriate people, processes, partners, and tools.

**About the Role**:
**Key Responsibilities**:

- Architect and design data solutions using tools like AWS, Snowflake, and Databricks.
- Oversee the delivery of data lake projects, including data acquisition, quality, transformation, and publishing.
- Work closely with business stakeholders to understand requirements and deliver solutions that meet their needs.
- Stay updated with industry trends and emerging technologies to drive continuous improvement.
- Monitor emerging technology, consult, influence, and lead high-performing teams.
- Leverage technology for business and customer needs.
- Understand analytical and technical frameworks for descriptive and prescriptive analytics.
- Be aware of integration patterns across MDM/RDM and transactional systems.
- Deliver data lake projects, including data acquisition, quality, transformation, and publishing.
- Ensure strong data security and governance policy definitions.
- Define solutions with a data product-centric approach, collaborating with business in requirements gathering and ongoing product enhancements.
- Have a sound foundation in Analytical Data lifecycle management.
- Aware of Data product change management and risk mitigation.

**Key Performance Indicators**:

- Achieved targets in Enterprise business case contribution, KPIs, customer satisfaction, and innovation measures.
- Clearly defined and communicated business capability, vision & strategy aligned to business strategy and providing a competitive advantage to Novartis.
- Role model with the highest standards of professional conduct in leading the business capability area.
- Deployment of digital platforms and services at scale.
- ** Operational Efficiency**:

- Data Processing Time: Average time taken to process and make data available for analysis.
- System Uptime: Percentage of time the data systems are operational and available.
- ** Stakeholder Satisfaction**:

- Stakeholder Feedback Score: Ratings from internal stakeholders on the usefulness and accessibility of data.
- Issue Resolution Time: Average time taken to resolve data-related issues reported by stakeholders.
- ** Innovation and Improvement**:

- Implementation of New Technologies: Number of new data tools or technologies successfully integrated.
- Process Improvement Initiatives: Number of initiatives aimed at improving data architecture processes.
- ** Project Delivery**:

- On-time Delivery Rate: Percentage of projects completed on or before the deadline.
- Project Success Rate: Percentage of projects that meet their objectives and deliver expected outcomes.
- Data Usage Rate: Frequency and extent to which data is accessed and used by the commercial team.
- Insights Generated: Number of actionable insights derived from data analytics.

**Skills**:

- Emerging Technology Monitoring, Consulting, Influenci