Assoc. Dir. Ddit Dev Data Analytics Ds&ai

**Summary**:
Responsible for the detailed Design, Development, and Delivery of system solutions such as Reporting, Analytical and Gen AI within a specific business or technology area. This role requires alignment with the defined solution architecture, leveraging existing patterns, and ensuring compliance with both business and technical requirements.

**About the Role**:
**Role Title**: Assoc. Dir. DDIT DEV Data Analytics DS&AI

**Location**: Hyderabad Hyd-India# LI Hybrid

**Role Purpose**:
Create the detailed DDIT solution/service design, based on functional specifications to meet quality and performance requirements and technical constraints. Responsible for detailed design, development, code review and delivery of Analytical and Gen AI solutions

**Your responsibilities include but are not limited to**
- Responsible for the **detailed design, development, and delivery of system solutions** within a specific business or technology area. This role requires alignment with the defined **solution architecture, leveraging existing patterns, and ensuring compliance with both business and technical requirements.**:

- Leverage reference architectures, patterns, and standards to ensure consistency and scalability.
- ** Take accountability for technical delivery of projects**/use cases for a specific business/technology area and ensure adherence with Security and Compliance policies and procedures within Service Delivery scope
- ** Collaborate and lead with diverse groups of work colleagues** (data engineering, data science, platform team and business stakeholders) and positively manage ambiguity
- Individual contributor or leading teams. Engaging with multiple stakeholders (architecture / infrastructure / vendor partners) medium to large-sized complexity of projects

**What you’ll bring to the role**:

- Experience in **project management and solution/service delivery**:

- Strong **analytical and conceptual skills for designing and implementing IT solutions** that meet business needs.
- Hands-on experience in Cloud Platforms like AWS (**Amazon Web Services**), Amazon S3, Amazon RDS, **Databricks,** AWS Glue
- Extensive** hands-on experience with Power BI or Qlik Sense/ Spotfire**:

- Experience in **web technologies and React JS**:

- Working experience **and knowledge in ETL tools** (**Databricks**, Spark, Kafka, Dataiku etc.), data modeling
- Experience working with Database technologies (**Oracle, Snowflake,** etc.) & data processing languages **(SQL, Python, R**, etc.)
- Excellent **communication and stakeholder management** skills.
- Experience in highly regulated environments, ideally in the Pharma industry, including on Computer System Validation with good documentation practice (GxP)
- Experience **working in Agile Scrum teams**:

- Exposure to fine-tuning the LLM models will be a big plus

Desirable Requirements:

- Education & Qualifications bachelor’s degree in computer science, Computer Engineering or related technical discipline or equivalent experience demonstrated
- 12+ years of experience with expert understanding and proven track record in analyzing business processes, architecting, designing, developing and integrating complex, cross-divisional end to end analytical solutions with large data volumes.
- Hands on to ETL tools like Databricks, SQL, Database technologies, AWS technologies (Primary Skill - Strong), Power BI technologies (Primary Skill
- Good), web technologies and React JS (Primary Skill

Commitment to Diversity & Inclusion:
Novartis embraces diversity, equal opportunity, and inclusion. We are committed to building diverse teams, representative of the patients and communities we serve, and we strive to create an inclusive workplace that cultivates bold innovation through collaboration and empowers our people to unleash their full potential.

Division

Operations

Business Unit

Universal Hierarchy Node

Location

India

Site

Hyderabad (Office)

Company / Legal Entity

IN10 (FCRS = IN010) Novartis Healthcare Private Limited

Functional Area

Technology Transformation

Job Type

Full time

Employment Type

Regular

Shift Work

No