Managing Data Architect

Bisoftllc is Looking for Chief Data Architect

JOB DETAILS

The Chief Data Architect is responsible for defining and governing the enterprise‑wide data architecture strategy to support business growth, digital transformation, analytics, AI, and regulatory requirements. This role serves as the technical authority and strategic partner to executive leadership, ensuring data platforms, integration patterns, and governance frameworks enable scalable, trusted, and value‑driven data use across the organization.

Key Responsibilities

Enterprise Data Strategy & Architecture

Define and own the enterprise data architecture vision, principles, and target‑state roadmap aligned to business strategy.
Establish standards for data platforms, integration, storage, analytics, and AI enablement.
Ensure architectural decisions balance scalability, cost, security, and agility.
Business & Executive Partnership

Partner with C‑suite, business leaders, and domain owners to translate strategic priorities into data architecture capabilities.
Advise leadership on data investment decisions, trade‑offs, and long‑term implications.
Act as a trusted authority on how data architecture enables revenue, efficiency, and risk reduction.
Data Platform & Modernization Oversight

Guide design and evolution of cloud/on‑prem/hybrid data platforms.
Define patterns for ingestion, transformation, analytics, ML/AI, and data sharing.
Ensure platforms are production‑ready, resilient, and cost‑optimized.
Governance, Trust & Risk Management

Architect enterprise approaches to data governance, quality, lineage, metadata, privacy, and security.
Ensure compliance with regulatory and industry requirements.
Champion trusted, auditable data as a foundational enterprise asset.
Operating Model & Enablement

Define the data architecture operating model, including decision rights, standards, and engagement with delivery teams.
Provide architectural guidance and guardrails without slowing delivery.
Mentor senior architects and elevate data architecture maturity across teams.
Success Measures

Clear, adopted enterprise data architecture roadmap
Improved speed and consistency of data delivery across domains
Reduced architectural fragmentation and technical debt
Increased confidence in data quality, lineage, and governance
Data platforms that reliably support analytics, AI, and scale

Required Experience & Qualifications

Experience

12+ years in data architecture, with significant experience at enterprise scale
Proven leadership in data platform strategy, modernization, or transformation
Experience influencing decisions at executive and board levels
Hands‑on understanding of analytics, cloud data platforms, and data governance
Technical Depth

Enterprise data architecture (conceptual, logical, physical)
Cloud data platforms and modern integration patterns
Analytics, BI, AI/ML enablement architectures
Data governance, security, privacy, and compliance
SDLC and production‑grade data delivery
Leadership & Mindset

Strategic thinker with strong execution orientation
Able to influence without direct authority
Communicates complex concepts clearly to technical and non‑technical audiences
Pragmatic, outcome‑focused, and business‑driven

Job Description

Data Architects drive change that creates business opportunity through data driven insights. Architects shape and translate Business strategy to data products and needs into realisable, sustainable technology solutions. Architects take end-to-end solution delivery ownership from idea to benefits delivery.