Digital Officer

1. Financial Control, Governance & Compliance

a. Own end-to-end financial control for the SM REIT and its underlying SPVs, including books of account, chart of accounts, and accounting policies in line with Ind AS.

b. Lead and coordinate statutory audit, internal audit, and IFC (Internal Financial Controls) across the REIT, SPVs, and asset-level entities; ensure timely closure of audit observations and remediation actions.

c. Oversee the preparation, review, and sign-off of quarterly and annual financial statements, consolidated and standalone, including notes, schedules, and management representations.

d. Ensure full compliance with SEBI Regulations, Companies Act, GST, Income Tax, FEMA (where applicable), and other applicable financial and accounting laws.

e. Manage and coordinate all regulatory and supervisory reviews/examinations related to financial and operational matters, including data submissions, responses, and follow-ups.

2. Financial Reporting, Planning & Analysis (FP&A)

a. Lead the finance and reporting team covering financial accounting, budgeting, MIS, and variance analysis at Scheme, SPV, and asset levels.

b. Deliver timely, accurate, and decision-ready financial and performance reporting, including NOI, cash flows, distributions, and operating costs.

c. Drive annual budgets, rolling forecasts, and long-term financial models aligned with asset-level business plans and distribution objectives.

d. Support preparation of investor presentations, trustee reports, and board materials with robust financial analysis and insights.

3. Business Partnering & Performance Management

a. Act as a finance business partner to Asset Management, Leasing, Operations, Compliance, Investments, and Legal teams to support commercial and operational decision-making.

b. Evaluate new acquisitions, asset transfers, leasing structures, debt arrangements, and related-party transactions from an accounting, regulatory, and financial control perspective.

c. Provide interpretative guidance on REIT accounting, regulatory treatment, and distribution impact to business teams and the VP Finance.

4. Regulatory Capital, Distributions & Risk Management

a. Assist in monitoring compliance with leverage limits, distribution requirements, liquidity thresholds, and risk parameters as prescribed by SEBI regulations.

b. Support cash flow planning to ensure timely and compliant distributions to unitholders.

c. Identify and flag financial, operational, and compliance risks, and work with relevant stakeholders on mitigation plans and control enhancements.

5. Team Leadership & Capability Building

a. Lead, mentor, and develop the finance and reporting team; ensure clear role ownership, effective delegation, and performance management.

b. Build a strong control-oriented finance culture with focus on accuracy, timeliness, documentation, and audit readiness.

c. Drive process improvements, automation, and standardization across finance and reporting workflows to support scale and regulatory robustness.

Criteria

• CA (1st attempts only).
• Proven experience as Manager / AVP Finance or similar role.
• Minimum 6–8 years’ experience in a middle management role.
• Proven track record of success facilitating progressive organizational change and development within a growing organization.
• Keen to understand the business model and implement various SEBI requirements from an operations perspective.
• Solid knowledge of financial aspects and day-to-day accounting.
• Proficient in the use of MS Office and financial management software.
• An analytical mind with a strategic ability.
• Excellent organizational and leadership skills.
• Outstanding communication and interpersonal abilities.

Role & Responsibilities

·      Collect, clean, and analyze large structured and unstructured datasets from multiple internal and external sources

·      Conduct thorough exploratory data analysis (EDA) to understand data distributions, relationships, outliers, and missing value patterns

·      Profile and audit datasets to assess data quality, completeness, consistency, and fitness for modeling

·      Investigate and document data lineage — understanding where data originates, how it flows, and how it transforms across systems

·      Identify and resolve data anomalies, inconsistencies, and integrity issues in collaboration with data engineering teams

·      Develop a deep understanding of the business domain and the underlying data that represents it — including what each field means, how it is captured, and what its limitations are

·      Translate raw, messy, real-world data into clean, well-understood analytical datasets ready for modeling and reporting

·      Apply statistical techniques such as correlation analysis, hypothesis testing, variance analysis, and distribution fitting to extract meaningful signals from noise

·      Build and deploy machine learning models including regression, classification, clustering, NLP, and time-series analysis

·      Design, evaluate, and analyze A/B experiments and controlled tests using causal inference techniques

·      Develop data-driven recommendations backed by rigorous statistical reasoning

·      Write clean, production-ready code in Python or R

·      Collaborate with data engineers to build reliable data pipelines and feature stores

·      Deploy and monitor ML models using MLOps best practices on cloud infrastructure

·      Build dashboards and self-serve analytics tools to support stakeholder decision-making

Data Understanding & Analysis Skills

·      Strong ability to interrogate unfamiliar datasets and quickly develop a working understanding of their structure, semantics, and quirks

·      Experience working with messy, incomplete, or poorly documented real-world data

·      Skilled in identifying hidden patterns, trends, seasonality, and anomalies through visual and statistical exploration

·      Ability to ask the right questions about data — challenging assumptions, validating sources, and understanding the context in which data was collected

·      Proficiency in data profiling, descriptive statistics, and summary reporting to communicate the shape and health of a dataset

·      Experience creating data dictionaries, documentation, and data quality reports to support team-wide data understanding

·      Comfort working across structured (relational tables), semi-structured (JSON, XML), and unstructured (text, logs, sensor streams) data formats

Technical Skills Required

·      Proficiency in Python (pandas, NumPy, scikit-learn, PyTorch or TensorFlow) and/or R

·      Strong SQL skills with hands-on experience in DB2 and SQL Server

·      Experience with Databricks for large-scale data processing, feature engineering, and model training

·      Familiarity with cloud platforms: Azure or AWS

·      Experience with data warehouses and big data platforms (Databricks, Snowflake, or Redshift)

·      Knowledge of MLOps tools such as MLflow, Kubeflow, or Airflow

·      Experience with streaming data technologies such as Kafka or Spark

·      Solid foundation in probability, statistics, linear algebra, and experimental design

Nice to Have

·      Experience with deep learning, NLP, computer vision, or Bayesian methods

·      Familiarity with real-time or streaming data pipelines

·      Open-source contributions or published research

We are looking for a highly skilled and experienced Senior AIOps / MLOps Engineer with strong expertise in Azure Cloud, automation, platform engineering, CI/CD, observability, and enterprise-scale cloud operations.

The ideal candidate should have hands-on experience in designing, implementing, and managing modern cloud-native platforms with focus on AI/ML operationalization, DevOps automation, monitoring, reliability, and infrastructure modernization.

Required Experience

• 6 – 10 Years of overall IT experience
• Strong experience in AIOps / MLOps / DevOps engineering
• Hands-on enterprise experience in Azure Cloud platform engineering

Key Responsibilities

AIOps / MLOps

• Design and implement scalable enterprise-grade AIOps and MLOps platforms across cloud environments.
• Ensure AI platform reliability, governance, security, and model performance optimization.
• Implement LLM/AI model versioning, experiment tracking, drift detection, observability, and operational health monitoring frameworks.
• Collaborate with Data Science, DevOps, Cloud, and Application teams to accelerate AI/ML adoption and platform modernization.
• Develop automation frameworks for AI/ML pipelines, infrastructure provisioning, and operational workflows.
• Lead continuous improvement, automation, and standardization efforts across AI/ML operational ecosystems
• Mentor engineering teams and promote AIOps/MLOps best practices, innovation, and engineering excellence
• Strong Knowledge on embeddings, tokenization, vector databases, and AI/ML model training concepts

Preferred Skills

• Python, MLflow, Model Registry, Experiment Tracking
• Azure DevOps & Azure Cloud
• Azure Machine Learning
• LLMOps / Generative AI operationalization
• AI model deployment and lifecycle management
• AI Gateway and Model Serving architectures
• Azure OpenAI & Azure AI Foundry
• MCP Server implementation and configuration  
• CI/CD Automation & AKS

Soft Skills

• Strong communication and stakeholder management
• Good troubleshooting and problem-solving skills
• Ability to work independently and drive ownership
• Strong collaboration and documentation skills

As an IT Technical Lead, you will play a crucial role in managing and leading a team of IT professionals. You will be responsible for providing technical guidance, overseeing project execution, and ensuring the successful delivery of IT solutions. Your expertise will be instrumental in driving innovation, implementing best practices, and maintaining a high level of technical excellence within the organization.

Key Responsibilities:

Team Leadership: Lead a team of IT professionals, including developers, engineers, and support staff. Provide guidance, mentorship, and technical expertise to ensure team members' growth and success. Foster a collaborative and positive work environment.

Technical Strategy and Planning: Develop and implement a strategic technical roadmap aligned with the organization's goals and objectives. Stay up to date with emerging technologies and trends, and assess their applicability to the organization's IT infrastructure. Make recommendations for technology adoption or enhancements.

Project Management: Oversee the execution of IT projects, including resource allocation, task assignments, and timelines. Collaborate with stakeholders to gather requirements, define project scope, and ensure successful project delivery. Monitor project progress, identify and mitigate risks, and resolve issues as they arise.

Technical Expertise: Serve as a subject matter expert in various IT domains, such as software development, infrastructure management, cybersecurity, and data management. Stay informed about industry best practices and provide guidance on technical standards, frameworks, and methodologies. Conduct research and evaluation of new technologies to support business objectives.

Collaboration and Communication: Collaborate with cross-functional teams, including business stakeholders, product managers, and other IT teams. Effectively communicate technical concepts and solutions to both technical and non-technical stakeholders. Foster strong relationships with external vendors and partners.

Troubleshooting and Issue Resolution: Assist in troubleshooting complex technical issues and provide guidance to team members in resolving them. Identify root causes, implement corrective actions, and develop preventive measures to avoid similar issues in the future. Ensure the timely resolution of critical incidents.

Continuous Improvement: Drive continuous improvement initiatives within the IT department by identifying areas for optimization, streamlining processes, and implementing automation where applicable. Promote a culture of innovation, learning, and knowledge sharing within the team.

Qualifications and Requirements:

Bachelor's degree in Computer Science, Information Technology, or a related field (or equivalent work experience).

Proven experience in a technical leadership role, managing and leading a team of IT professionals.

Strong technical background in one or more IT domains, such as software development, infrastructure management, cybersecurity, or data management.

In-depth knowledge of industry best practices, emerging technologies, and trends.

Proficiency in project management methodologies and tools.

Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to both technical and non-technical stakeholders.

Strong problem-solving and troubleshooting abilities.

Demonstrated ability to drive innovation, implement process improvements, and foster a culture of continuous learning.

Desired Candidate Profile

The ideal candidate is a self-motivated, multi-tasker, and demonstrated team-player. You will be a senior developer responsible for the development of new software products and enhancements to existing products. You should excel in working with large-scale applications and frameworks and have outstanding communication and leadership skills.

Responsibilities:

• Writing clean, high-quality, high-performance, maintainable code
• Develop and support software including applications, database integration, interfaces, and new functionality enhancements
• Coordinate cross-functionally to insure project meets business objectives and compliance standards
• Support test and deployment of new products and features
• Participate in code reviews

Requirements:

• B.Tech from Tier 1 College.
• 3+ yrs of experience, at least 2 yrs of experience with Python and Django.
• Expertise in Object Oriented Design, Database Design, and XML Schema
• Experience with Agile or Scrum software development methodologies
• Ability to multi-task, organise, and prioritise work