MDM Developer at Accenture

Montreal, Quebec, Canada

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Not SpecifiedCompensation

Mid-level (3 to 4 years), Senior (5 to 8 years)Experience Level

Full TimeJob Type

UnknownVisa

Technology, ConsultingIndustries

Requirements

Bachelor’s degree with excellent written and oral communication skills
5 to 6 years working as a consultant or directly with clients in a role where you took ownership of the data assets for the organization to provide users with high-quality data that is accessible in a consistent manner
5 to 6 years facilitating Data cleansing and enrichment through data de-duplication and construction
5 to 6 years of experience in processes such as data discovery, profiling, inventories
5 to 6 years in a role (description incomplete in provided text)

Responsibilities

Defining the master data architecture for cloud native master data management implementation
Leading high impact master data management strategies (why, how, value, and approach) for client’s senior leadership in their data organization (SVP to C-suite); leading small teams of motivated generalists and deep specialists
Being a day-to-day leader and client relationship management of diverse delivery teams working with clients
Acting as knowledgeable expert in master data management and data integration to advise clients and Accenture teams as a subject matter advisor
Defining the master/reference data architecture for cloud native data management with expert level knowledge of Popular Cloud native MDM Platforms (e.g. Informatica MDM SaaS B360/C360, Reltio, Tibco etc.), Data Layers (e.g. raw, curated), Integration design (e.g. APIs), ETL (Extract, Transform & Load), velocity (e.g. streaming), Master and Reference Data architecture design patterns
Defining the data architecture for cloud native data management with focus on Business process flows including Master and Reference Data stewardship to support data consolidation, sourcing & lineage, Master and Reference Data Modelling methodologies & tools, Master and Reference Data Reference Architectures
Defining the data architecture for cloud native data management with focus on (Business) Data Definitions & Metadata, Reference Data Management, Master Data Management (core & critical business data entities), Data Lineage
Defining the data management vision & strategies, managing the change journey and/or serving as the “architect” to design and scale end to end data management with special focus on Data Quality Rules & KPIs, Automated Data Cleansing (e.g. use of AI / ML), Compliance Rules & KPIs, Data democratization, Data security, Compliance & security policies for data access, use & integration

Skills

MDM

Master Data Management

Cloud Native

Data Architecture

Data Strategy

Client Relationship Management

Data Governance

Machine Learning

Accenture

Global professional services for digital transformation

About Accenture

Accenture provides a wide range of professional services, including strategy and consulting, technology, and operations, to help organizations improve their performance. Their services assist clients in navigating digital transformation, enhancing operational efficiency, and achieving sustainable growth. Accenture's offerings include cloud migration, cybersecurity, artificial intelligence, and data analytics, which are tailored to meet the needs of various industries such as financial services, healthcare, and retail. What sets Accenture apart from its competitors is its extensive industry knowledge and ability to deliver comprehensive solutions that address both immediate challenges and long-term goals. The company's aim is to support clients in reducing their environmental impact while driving innovation and growth.

Dublin, IrelandHeadquarters

1989Year Founded

$8.5MTotal Funding

IPOCompany Stage

Consulting, Enterprise Software, CybersecurityIndustries

10,001+Employees

Risks

Rapid AI advancements may outpace Accenture's current capabilities, risking competitive disadvantages.

Integration challenges from multiple acquisitions could affect Accenture's operational efficiency.

The rise of AI-driven startups may disrupt Accenture's market share in customer service solutions.

Differentiation

Accenture's acquisitions enhance its capabilities in digital twin technology for financial services.

The company is expanding its expertise in net-zero infrastructure through strategic acquisitions.

Accenture's focus on software-defined vehicles positions it as a leader in automotive innovation.

Upsides

Accenture's investment in EMTECH supports central bank modernization amid digital currency evolution.

The acquisition of Award Solutions boosts Accenture's presence in the growing 5G and IoT markets.

Accenture's strategic acquisitions align with high-growth markets like digital twins and net-zero projects.

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